OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
Ji Yu Shi Pin De Mu Biao Jian Ce Suan Fa Yan Jiu
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
This is a list of awesome articles about object detection from video.
Video detection library
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch
A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
update some video object detection papers (Shi Pin Mu Biao Jian Ce Lun Wen He Dai Ma Zheng Li )
PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Sequence Level Semantics Aggregation for Video Object Detection
Spatial-Temporal Feature Transformation for Video Object Detection, MICCAI2021
Search for objects on video (possible with IP cameras)
A collection of some awesome video object detection series projects.
[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
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