There are 31 repositories under video-object-detection topic.
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
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
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
Sequence Level Semantics Aggregation for Video Object Detection
Spatial-Temporal Feature Transformation for Video Object Detection, MICCAI2021
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
Search for objects on video (possible with IP cameras)
[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Flow-Guided-Feature-Aggregation研究基于视频的目标检测FGFA框架
A collection of some awesome video object detection series projects.
LongShortNet for Streaming Perception task.
[TPAMI-22] Bottom-up, voting based video object detection method
Geometry-Aware Video Object Detection for Static Cameras (BMVC 2019 ORAL)
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.
Building an Object Detection API with ImageAI modules and wrapping it in a Docker Image
In this project we are going to implement a system which use CNN to detect objects in a picture using SSD algorithm
Kaggle "TensorFlow - Help Protect the Great Barrier Reef" - Underwater Video Object Detection with Pytorch
ECE NTUA Assignments
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.
Experiments with and explorations of yolov3.
Detects objects in the video file/camera using tensorflow object detection api
Use of Tensorflow hub API for object detection