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
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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)
update some video object detection papers (视频目标检测论文和代码整理)
PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
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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