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Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests

https://doi.org/10.1007/s00138-017-0894-7

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What this work says

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

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Violence Content Classification Using Audio Features

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

inferredcites →https://doi.org/10.1007/978-3-540-89796-5_33openalex-snapshot

Detecting Violent Scenes in Movies by Auditory and Visual Cues

inferredcites →https://doi.org/10.1007/978-3-642-10467-1_84openalex-snapshot

Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training

inferredcites →https://doi.org/10.1007/978-3-642-12842-4_13openalex-snapshot

Audio-Visual Fusion for Detecting Violent Scenes in Videos

inferredcites →https://doi.org/10.1007/978-3-642-15567-3_11openalex-snapshot

Convolutional Learning of Spatio-temporal Features

inferredcites →https://doi.org/10.1007/978-3-642-17711-8_31openalex-snapshot

Variations of a Hough-Voting Action Recognition System

inferredcites →https://doi.org/10.1007/978-3-642-23678-5_39openalex-snapshot

Violence Detection in Video Using Computer Vision Techniques

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.imavis.2009.11.014openalex-snapshot

A survey on vision-based human action recognition

inferredcites →https://doi.org/10.1016/j.imavis.2016.01.006openalex-snapshot

Violence detection using Oriented VIolent Flows

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1049/ic.2015.0104openalex-snapshot

A Local Feature based on Lagrangian Measures for Violent Video Classification

inferredcites →https://doi.org/10.1109/avss.2007.4425310openalex-snapshot

CASSANDRA: audio-video sensor fusion for aggression detection

inferredcites →https://doi.org/10.1109/avss.2015.7301787openalex-snapshot

Violence detection in crowded scenes using substantial derivative

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

Learning realistic human actions from movies

inferredcites →https://doi.org/10.1109/cvpr.2010.5539883openalex-snapshot

A Hough transform-based voting framework for action recognition

inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot

Action recognition by dense trajectories

inferredcites →https://doi.org/10.1109/cvpr.2011.5995496openalex-snapshot

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

inferredcites →https://doi.org/10.1109/cvpr.2015.7299059openalex-snapshot

Action recognition with trajectory-pooled deep-convolutional descriptors

inferredcites →https://doi.org/10.1109/cvprw.2012.6239348openalex-snapshot

Violent flows: Real-time detection of violent crowd behavior

inferredcites →https://doi.org/10.1109/iccv.2003.1238378openalex-snapshot

Space-time interest points

inferredcites →https://doi.org/10.1109/iccv.2009.5459154openalex-snapshot

Activity recognition using the velocity histories of tracked keypoints

inferredcites →https://doi.org/10.1109/iccv.2009.5459361openalex-snapshot

Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities

inferredcites →https://doi.org/10.1109/iccv.2013.242openalex-snapshot

Multi-scale Topological Features for Hand Posture Representation and Analysis

inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot

Action Recognition with Improved Trajectories

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccvw.2009.5457659openalex-snapshot

Trajectons: Action recognition through the motion analysis of tracked features

inferredcites →https://doi.org/10.1109/icip.1998.723496openalex-snapshot

Audio-visual content-based violent scene characterization

inferredcites →https://doi.org/10.1109/iembs.2008.4650395openalex-snapshot

Recognition of aggressive human behavior using binary local motion descriptors

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

Machine Recognition of Human Activities: A Survey

inferredcites →https://doi.org/10.1109/tpami.2011.253openalex-snapshot

Learning Sparse Representations for Human Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2011.70openalex-snapshot

Hough Forests for Object Detection, Tracking, and Action Recognition

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

Behavior Recognition via Sparse Spatio-Temporal Features

inferredcites →https://doi.org/10.1142/s0218001411009056openalex-snapshot

VIOLENT SCENE DETECTION IN MOVIES

inferredcites →https://doi.org/10.1145/1730836.1730838openalex-snapshot

Exploiting multi-level parallelism for low-latency activity recognition in streaming video

inferredcites →https://doi.org/10.1145/973264.973282openalex-snapshot

Semantic context detection based on hierarchical audio models

inferredcites →https://doi.org/10.1371/journal.pone.0120448openalex-snapshot

Fast Fight Detection

inferredcites →https://doi.org/10.3390/computers2020088openalex-snapshot

A Review on Video-Based Human Activity Recognition

inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot

Two-Stream Convolutional Networks for Action Recognition in Videos

inferredcites →https://doi.org/10.5220/0004695104780485openalex-snapshot

Fast Violence Detection in Video

What points at this work

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

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Enhanced Visual Sentinel Incorporating Video Restoration for Har Based Violence Detection

inferred← citeshttps://doi.org/10.2139/ssrn.4797437openalex-extracted

Enhanced Visual Sentinel Incorporating Video Restoration for Har-Based Violence Detection

inferred← citeshttps://doi.org/10.1002/int.22537openalex-snapshot

An intelligent system for complex violence pattern analysis and detection

inferred← citeshttps://doi.org/10.1007/978-981-95-2398-6_51openalex-snapshot

Violence Detection by a Social Robot

inferred← citeshttps://doi.org/10.1016/b978-0-44-318468-0.00013-1openalex-snapshot

Deep CNNS and fractal-based sequence learning for violence detection in surveillance videos

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102953openalex-snapshot

ATD Learning: A secure, smart, and decentralised learning method for big data environments

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128113openalex-snapshot

Revisiting vision-based violence detection in videos: A critical analysis

inferred← citeshttps://doi.org/10.1080/23335777.2021.1940303openalex-snapshot

A survey of video violence detection

inferred← citeshttps://doi.org/10.1109/avss61716.2024.10672568openalex-snapshot

Dual Deep Learning Network for Abnormal Action Detection

inferred← citeshttps://doi.org/10.1109/incacct57535.2023.10141720openalex-snapshot

Designing of an Efficient Model for Violence Detection Using Advance Deep Learning Techniques

inferred← citeshttps://doi.org/10.1109/sibgrapi.2019.00010openalex-snapshot

Fight Detection in Video Sequences Based on Multi-Stream Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/tii.2021.3116377openalex-snapshot

AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks

inferred← citeshttps://doi.org/10.1109/tip.2018.2845742openalex-snapshot

Fight Recognition in Video Using Hough Forests and 2D Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/tmm.2024.3379893openalex-snapshot

Video Violence Rating: A Large-Scale Public Database and A Multimodal Rating Model

inferred← citeshttps://doi.org/10.1145/3341105.3373942openalex-snapshot

Robust, efficient and privacy-preserving violent activity recognition in videos

inferred← citeshttps://doi.org/10.1145/3561971openalex-snapshot

A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos

inferred← citeshttps://doi.org/10.1145/3604078.3604116openalex-snapshot

Violence Detection Using Affective Features from Upper Body Expressions

inferred← citeshttps://doi.org/10.17212/2782-2001-2022-3-21-36openalex-snapshot

A method for automatic recognition of deviant behavior of people based on the integration of computer vision and knowledge management technologies to support decision-making by operators of video monitoring systems

inferred← citeshttps://doi.org/10.32604/cmc.2022.023841openalex-snapshot

Sensors-Based Ambient Assistant Living via E-Monitoring Technology

inferred← citeshttps://doi.org/10.3390/computers12090175openalex-snapshot

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection

inferred← citeshttps://doi.org/10.3390/rs13040628openalex-snapshot

Campus Violence Detection Based on Artificial Intelligent Interpretation of Surveillance Video Sequences

inferred← citeshttps://doi.org/10.3390/s21113771openalex-snapshot

Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis

inferred← citeshttps://doi.org/10.47749/t/unicamp.2020.1127108openalex-snapshot

Anomalous action detection in videos assisted by high-level features using a multi-stream deep neural network

inferred← citeshttps://doi.org/10.5565/rev/elcvia.1135openalex-snapshot

Contributions to the Problem of Fight Detection in Video

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