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pengjinqiang's Projects

c3d-pytorch icon c3d-pytorch

Pytorch porting of C3D network, with Sports1M weights

denseflow_gpu icon denseflow_gpu

Denseflow_GPU modified for opencv4 and with simplified operation

hidden-two-stream icon hidden-two-stream

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

humanbehaviorbku icon humanbehaviorbku

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

mist_vad icon mist_vad

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

models icon models

Models and examples built with TensorFlow

real-time-abnormal-events-detection-and-tracking-in-surveillance-system icon real-time-abnormal-events-detection-and-tracking-in-surveillance-system

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.

rtfm icon rtfm

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

tsn-pytorch icon tsn-pytorch

Pytorch impelementation for Temporal Segment Networks (TSN) in ECCV 2016

vie icon vie

Codes for "Unsupervised Learning from Video with Deep Neural Embeddings"

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