This repository contains my object detection and tracking projects. All of these can be hosted on a cloud server. You can also use your own IP cameras with asynchronous processing thanks to ImageZMQ.
Abstract: Multiple object tracking involves multi-task learning to handle object detection and data association tasks concurrently. Conventionally, object detection consists of object classification ...
A Flask app for multiple live video streaming over a network with object detection, tracking (optional), and counting. Uses YOLO v4 with Tensorflow backend as the object detection model and Deep SORT ...
Abstract: Multiple Object Tracking (MOT) often struggles in crowded scenes due to frequent occlusions, where low-confidence detections are typically discarded, leading to track fragmentation and ...
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