视觉目标跟踪 Resources

Showing items tagged with "视觉目标跟踪"

This code implements three advanced visual object tracking algorithms: Particle Filter (PF), Kalman Particle Filter (KPF), and Unscented Particle Filter (UPF). These represent my core development work over the past two years, delivering significantly more robust tracking performance compared to traditional methods like MeanShift and Camshift. The KPF and UPF implementations are particularly noteworthy as original contributions - you won't find comparable implementations elsewhere online. Although only partially optimized, the refined versions have been successfully deployed in our research group's active visual target tracking and engagement platform. I'm now sharing these valuable resources with the community!

MATLAB 254 views Tagged

Orthogonal correlation object detection employs orthogonal correlation methods to identify target positions in images. Suitable for various computer vision applications including video object detection, visual object detection, object localization, visual object tracking, video object tracking, image matching, and image registration. Implementation typically involves calculating correlation matrices between target templates and image regions using orthogonal basis functions.

MATLAB 218 views Tagged

This code implements covariance tracking for visual object tracking research, which integrates multiple spatiotemporal features into a unified model. The approach demonstrates strong robustness in visual tracking applications and maintains computational efficiency since its dimensionality equals the number of features used rather than their individual dimensions, resulting in lower complexity and better real-time performance.

MATLAB 233 views Tagged

Mean Shift object tracking algorithm for video target following, featuring modified code implementations. This approach utilizes mean shift procedures for visual target tracking, video surveillance, and active vision applications, with extensions to image segmentation, clustering, and partition tasks.

MATLAB 217 views Tagged