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Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

https://doi.org/10.1109/tpami.2012.141

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.1998.0726openalex-snapshot

Parameterized Modeling and Recognition of Activities

inferredcites →https://doi.org/10.1006/cviu.2001.0934openalex-snapshot

Empirical Evaluation of Dissimilarity Measures for Color and Texture

inferredcites →https://doi.org/10.1007/978-3-540-88688-4_48openalex-snapshot

An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector

inferredcites →https://doi.org/10.1007/978-3-540-88693-8_60openalex-snapshot

Motion Context: A New Representation for Human Action Recognition

inferredcites →https://doi.org/10.1007/bf00133568openalex-snapshot

Optical flow using spatiotemporal filters

inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot

On Space-Time Interest Points

inferredcites →https://doi.org/10.1007/s11263-007-0122-4openalex-snapshot

Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

inferredcites →https://doi.org/10.1016/j.cviu.2006.07.013openalex-snapshot

Free viewpoint action recognition using motion history volumes

inferredcites →https://doi.org/10.1016/j.cviu.2007.09.006openalex-snapshot

A differential geometric approach to representing the human actions

inferredcites →https://doi.org/10.1016/j.imavis.2009.11.014openalex-snapshot

A survey on vision-based human action recognition

inferredcites →https://doi.org/10.1016/j.patrec.2008.09.006openalex-snapshot

Three-way auto-correlation approach to motion recognition

inferredcites →https://doi.org/10.1023/b:visi.0000042934.15159.49openalex-snapshot

Pictorial Structures for Object Recognition

inferredcites →https://doi.org/10.1109/34.910878openalex-snapshot

The recognition of human movement using temporal templates

inferredcites →https://doi.org/10.1109/34.93808openalex-snapshot

The design and use of steerable filters

inferredcites →https://doi.org/10.1109/72.788646openalex-snapshot

Support vector machines for histogram-based image classification

inferredcites →https://doi.org/10.1109/cvpr.1999.784616openalex-snapshot

Probabilistic recognition of activity using local appearance

inferredcites →https://doi.org/10.1109/cvpr.2005.179openalex-snapshot

Hybrid Models for Human Motion Recognition

inferredcites →https://doi.org/10.1109/cvpr.2005.206openalex-snapshot

Learning Spatiotemporal T-Junctions for Occlusion Detection

inferredcites →https://doi.org/10.1109/cvpr.2007.383332openalex-snapshot

Learning Motion Categories using both Semantic and Structural Information

inferredcites →https://doi.org/10.1109/cvpr.2007.383512openalex-snapshot

Spatio-temporal Shape and Flow Correlation for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2008.4587628openalex-snapshot

Action recognition with motion-appearance vocabulary forest

inferredcites →https://doi.org/10.1109/cvpr.2008.4587723openalex-snapshot

Learning human actions via information maximization

inferredcites →https://doi.org/10.1109/cvpr.2008.4587727openalex-snapshot

Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition

inferredcites →https://doi.org/10.1109/cvpr.2008.4587735openalex-snapshot

Action recognition by learning mid-level motion features

inferredcites →https://doi.org/10.1109/cvpr.2008.4587756openalex-snapshot

Learning realistic human actions from movies

inferredcites →https://doi.org/10.1109/cvpr.2009.5204255openalex-snapshot

Action recognition via local descriptors and holistic features

inferredcites →https://doi.org/10.1109/cvpr.2009.5206525openalex-snapshot

Dense saliency-based spatiotemporal feature points for action recognition

inferredcites →https://doi.org/10.1109/cvpr.2009.5206557openalex-snapshot

Actions in context

inferredcites →https://doi.org/10.1109/cvpr.2009.5206721openalex-snapshot

Hierarchical spatio-temporal context modeling for action recognition

inferredcites →https://doi.org/10.1109/cvpr.2009.5206744openalex-snapshot

Recognizing realistic actions from videos “in the wild”

inferredcites →https://doi.org/10.1109/cvpr.2009.5206817openalex-snapshot

Early spatiotemporal grouping with a distributed oriented energy representation

inferredcites →https://doi.org/10.1109/cvpr.2010.5539874openalex-snapshot

Efficient action spotting based on a spacetime oriented structure representation

inferredcites →https://doi.org/10.1109/cvpr.2010.5539881openalex-snapshot

Learning a hierarchy of discriminative space-time neighborhood features for human action recognition

inferredcites →https://doi.org/10.1109/cvpr.2010.5540213openalex-snapshot

Dynamic texture recognition based on distributions of spacetime oriented structure

inferredcites →https://doi.org/10.1109/cvprw.2009.5204255openalex-snapshot

Action recognition via local descriptors and holistic features

inferredcites →https://doi.org/10.1109/cvprw.2009.5206721openalex-snapshot

Hierarchical spatio-temporal context modeling for action recognition

inferredcites →https://doi.org/10.1109/iccv.2003.1238420openalex-snapshot

Recognizing action at a distance

inferredcites →https://doi.org/10.1109/iccv.2005.85openalex-snapshot

Efficient visual event detection using volumetric features

inferredcites →https://doi.org/10.1109/iccv.2007.4408988openalex-snapshot

A Biologically Inspired System for Action Recognition

inferredcites →https://doi.org/10.1109/iccv.2007.4409011openalex-snapshot

Event Detection in Crowded Videos

inferredcites →https://doi.org/10.1109/iccv.2007.4409046openalex-snapshot

Chaotic Invariants for Human Action Recognition

inferredcites →https://doi.org/10.1109/iccv.2009.5459153openalex-snapshot

Action detection in complex scenes with spatial and temporal ambiguities

inferredcites →https://doi.org/10.1109/iccv.2009.5459184openalex-snapshot

Recognizing actions by shape-motion prototype trees

inferredcites →https://doi.org/10.1109/iccv.2009.5459201openalex-snapshot

Local Trinary Patterns for human action recognition

inferredcites →https://doi.org/10.1109/icip.2005.1530451openalex-snapshot

Three-dimensional nth derivative of Gaussian separable steerable filters

inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-snapshot

Recognizing human actions: a local SVM approach

inferredcites →https://doi.org/10.1109/tc.1972.5008923openalex-snapshot

A Class of Algorithms for Fast Digital Image Registration

inferredcites →https://doi.org/10.1109/tcsvt.2008.2005594openalex-snapshot

Machine Recognition of Human Activities: A Survey

inferredcites →https://doi.org/10.1109/tcsvt.2008.927112openalex-snapshot

High-Speed Action Recognition and Localization in Compressed Domain Videos

inferredcites →https://doi.org/10.1109/tcsvt.2009.2017399openalex-snapshot

Hierarchical Space-Time Model Enabling Efficient Search for Human Actions

inferredcites →https://doi.org/10.1109/tpami.2003.1195991openalex-snapshot

Kernel-based object tracking

inferredcites →https://doi.org/10.1109/tpami.2007.1119openalex-snapshot

Space-Time Behavior-Based Correlation-OR-How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them?

inferredcites →https://doi.org/10.1109/tpami.2007.70711openalex-snapshot

Actions as Space-Time Shapes

inferredcites →https://doi.org/10.1109/tpami.2008.128openalex-snapshot

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

inferredcites →https://doi.org/10.1109/tpami.2008.167openalex-snapshot

Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection

inferredcites →https://doi.org/10.1109/tpami.2008.284openalex-snapshot

Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning

inferredcites →https://doi.org/10.1109/tpami.2010.144openalex-snapshot

Action Recognition Using Mined Hierarchical Compound Features

inferredcites →https://doi.org/10.1109/tpami.2010.156openalex-snapshot

Action Recognition from One Example

inferredcites →https://doi.org/10.1109/tpami.2010.64openalex-snapshot

The Structure of Multiplicative Motions in Natural Imagery

inferredcites →https://doi.org/10.1109/tpami.2011.38openalex-snapshot

Discriminative Video Pattern Search for Efficient Action Detection

inferredcites →https://doi.org/10.1109/tsmcb.2005.861864openalex-snapshot

Spatiotemporal salient points for visual recognition of human actions

inferredcites →https://doi.org/10.1109/vspets.2005.1570899openalex-snapshot

Behavior Recognition via Sparse Spatio-Temporal Features

inferredcites →https://doi.org/10.1119/1.1973431openalex-snapshot

The Fourier Transform and Its Applications

inferredcites →https://doi.org/10.1145/1275808.1276382openalex-snapshot

Scene completion using millions of photographs

inferredcites →https://doi.org/10.1145/1276377.1276382openalex-snapshot

Scene completion using millions of photographs

inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot

LIBSVM

inferredcites →https://doi.org/10.1364/josaa.2.000284openalex-snapshot

Spatiotemporal energy models for the perception of motion

inferredcites →https://doi.org/10.1533/9780857099464openalex-snapshot

Digital image processing

inferredcites →https://doi.org/10.5244/c.22.105openalex-snapshot

Fast Motion Consistency through Matrix Quantization

inferredcites →https://doi.org/10.5244/c.22.99openalex-snapshot

A Spatio-Temporal Descriptor Based on 3D-Gradients

inferredcites →https://doi.org/10.5244/c.23.124openalex-snapshot

Evaluation of local spatio-temporal features for action recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-16628-5_9openalex-snapshot

Human Action Recognition Based on Oriented Motion Salient Regions

inferred← citeshttps://doi.org/10.1007/978-3-319-57021-1_1openalex-snapshot

Challenges in Multi-modal Gesture Recognition

inferred← citeshttps://doi.org/10.1007/978-3-319-57687-9_2openalex-snapshot

Perceptual Texture Similarity for Machine Intelligence Applications

inferred← citeshttps://doi.org/10.1007/978-3-642-37431-9_41openalex-snapshot

Spatiotemporal Salience via Centre-Surround Comparison of Visual Spacetime Orientations

inferred← citeshttps://doi.org/10.1007/978-981-13-7983-3_44openalex-snapshot

Survey of Pedestrian Action Recognition in Unmanned-Driving

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Power difference template for action recognition

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Human behavior recognition based on multi-feature fusion of image

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A compact discriminant hierarchical clustering approach for action recognition

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Dynamic hand gesture recognition using motion pattern and shape descriptors

inferred← citeshttps://doi.org/10.1007/s11263-017-1023-9openalex-snapshot

Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels

inferred← citeshttps://doi.org/10.1007/s12652-017-0632-zopenalex-snapshot

Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative

inferred← citeshttps://doi.org/10.1016/j.cviu.2015.10.010openalex-snapshot

From pose to activity: Surveying datasets and introducing CONVERSE

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RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance

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Detection of moving objects based on enhancement of optical flow

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A human action recognition approach with a novel reduced feature set based on the natural domain knowledge of the human figure

inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.06.023openalex-snapshot

Gradient-layer feature transform for action detection and recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2019.03.005openalex-snapshot

Spatiotemporal distilled dense-connectivity network for video action recognition

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Robust Feature-Based Automated Multi-View Human Action Recognition System

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Information Mandala: Statistical Distance Matrix With Clustering

inferred← citeshttps://doi.org/10.1109/apsipa.2017.8282038openalex-snapshot

Pose-invariant kinematic features for action recognition

inferred← citeshttps://doi.org/10.1109/ccst.2016.7815694openalex-snapshot

Human activity recognition using optical flow based feature set

inferred← citeshttps://doi.org/10.1109/cvpr.2014.265openalex-snapshot

Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition

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Dynamically encoded actions based on spacetime saliency

inferred← citeshttps://doi.org/10.1109/cvpr.2017.787openalex-snapshot

Spatiotemporal Multiplier Networks for Video Action Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01361openalex-snapshot

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information

inferred← citeshttps://doi.org/10.1109/iccv.2013.280openalex-snapshot

From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding

inferred← citeshttps://doi.org/10.1109/icdcot61034.2024.10515658openalex-snapshot

Multiview Human Action Recognition System

inferred← citeshttps://doi.org/10.1109/icdmai.2017.8073483openalex-snapshot

Histogram of directional derivative based spatio-temporal descriptor for human action recognition

inferred← citeshttps://doi.org/10.1109/icip.2014.7025298openalex-snapshot

Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies

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GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching

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Minimum uncertainty latent variable models for robot recognition of sequential human activities

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Discriminative human action recognition using HOI descriptor and key poses

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An Image-based Human Physical Activities Recognition in an Indoor Environment

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Recent advances in video-based human action recognition using deep learning: A review

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A Vision-Based Infant Monitoring System Using PT IP Camera

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A comparative study of color and depth features for hand gesture recognition in naturalistic driving settings

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Spatiotemporal trajectory models for metalevel target tracking

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A novel reduced feature set and a hierarchical system of classifiers for human action recognition based on the natural domain knowledge of the human figure

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Hierarchical and Parallel Pipelined Heterogeneous SoC for Embedded Vision Processing

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Bayesian Intent Prediction in Object Tracking Using Bridging Distributions

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Human Action Recognition With Video Data: Research and Evaluation Challenges

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Fuzzy Temporal Segmentation and Probabilistic Recognition of Continuous Human Daily Activities

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The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking

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Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis

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Dynamic Scene Recognition with Complementary Spatiotemporal Features

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Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks

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Human action recognition using motion energy template

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Energy flow: image correspondence approximation for motion analysis

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Mining Key Skeleton Poses with Latent SVM for Action Recognition

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Learning Multimodal Deep Representations for Crowd Anomaly Event Detection

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Spatio-temporal Based Approaches for Human Action Recognition in Static and Dynamic Background: a Survey

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Automated Multi-View Human Action Recognition System

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Exploring Local Feature Descriptors for Construction Site Video Stabilization

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Pose-invariant action recognition for automated behaviour analysis

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Pose-Aware Embedding Networks and Multi-Modal Image-Language Retrieval

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Pose-Aware Embedding Networks and Multi-Modal Image-Language Retrieval

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Tubelets: Unsupervised action proposals from spatiotemporal super-voxels

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Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction

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Spacetime Forests with Complementary Features for Dynamic Scene Recognition

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ROBUST FEATURE-BASED AUTOMATED MULTI-VIEW HUMAN ACTION RECOGNITION SYSTEM

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Segmentation sémantique interactive d'images aériennes avec des réseaux de neurones profonds

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