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Moving Object Detection and Tracking Using Convolutional Neural Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-57956-7_22openalex-snapshot
Robust multiple car tracking with occlusion reasoning
inferredcites →https://doi.org/10.1016/j.asoc.2015.06.048openalex-snapshot
CNNTracker: Online discriminative object tracking via deep convolutional neural network
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Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
inferredcites →https://doi.org/10.1109/ssiai.2010.5483925openalex-snapshot
Vehicle tracking using a human-vision-based model of visual similarity
inferredcites →https://doi.org/10.1109/tcsvt.2009.2031395openalex-snapshot
Object Tracking in Structured Environments for Video Surveillance Applications
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Human Tracking Using Convolutional Neural Networks
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3D Convolutional Neural Networks for Human Action Recognition
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Boosting object detection performance in crowded surveillance videos
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.15680/ijircce.2015.0304008openalex-snapshot
Moving Object Extraction Based onBackground Reconstruction
inferredcites →https://doi.org/10.3390/s130708895openalex-snapshot
Background Subtraction Based on Color and Depth Using Active Sensors
inferredcites →https://doi.org/10.48550/arxiv.1501.04587openalex-snapshot
Transferring Rich Feature Hierarchies for Robust Visual Tracking
inferredcites →https://doi.org/10.48550/arxiv.1502.06796openalex-snapshot
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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