Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker

lastmod 2026-11-10created 2017-11-092 edits

Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker is a paper on a multiple object tracking method that combines a deep learning detector with a correlation filter tracker. Faster R-CNN detects objects in each frame and the KCF tracker follows their positions between detections; linking the two compensates for missed detections and tracks multiple objects at near real-time speed.

Documentation

Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker

http://www-personal.umich.edu/~yeeyoung/publication/MOT.pdf

See also

• Faster RCNN
• KCF