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.

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

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

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.

基于视频的目标检测算法研究 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

Video detection library

This is a list of awesome articles about object detection from video.

Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch

video detection papers

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Sequence Level Semantics Aggregation for Video Object Detection

A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

Search for objects on video (possible with IP cameras)

Spatial-Temporal Feature Transformation for Video Object Detection, MICCAI2021

update some video object detection papers (视频目标检测论文和代码整理)

Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.

[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

This project offers two Flask applications that utilize ImageAI's image prediction algorithms and object detection models. These apps enable users to upload images and videos for object recognition, detection and analysis, providing accurate prediction results, confidence scores, raw data of detected objects at frame-level, and object insights.