Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process. [NeurIPS'21] Unified tracking framework with a single appearance model. It supports ...

Object tracking is one of the most important and fundamental disciplines of Computer Vision. Many Computer Vision applications require specific object tracking capabilities, including autonomous and ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Based on previous positive effects of adaptive object tracking training (Parsons et al., 2016; Romeas et al., 2016), it was predicted that NeuroTracker training would lead to improvements in a second ...

About Software Engineering Project, Multi-object Tracking and Detection System using Object Recognition and OpenCV python opencv machine-learning computer-vision software-engineering object-detection ...