Greedy algorithm for real-time multi-object tracking
Taeho Kim, Changhoon Lee, Chang D. Yoo · 2014
Real-time multi-object tracking is one of the most challenging problem in computer vision. Based on integer linear programming (ILP) formulation for object tracking [1, 2], we propose the greedy algorithm for real-time multi-object tracking. The experimental result shows that the performance of the proposed algorithm is competitive to the previous state-of-the-art algorithms on off-line video data, and its running time is also sufficient for analyzing the tracks of object in real-time video data.