MORTAL: Multiple Objects Realtime Tracking and Learning
Praveen Palanisamy · International journal of tomography and simulation · 2015
This paper proposes a real-time system that can track and learn multiple independent objects. The Multiple Objects Tracking And Learning (MORTAL) system uses a shared memory multiprocessing to parallelize object tracking. MORTAL takes less than 40 milliseconds to track up to 3 arbitrary objects simultaneously at a resolution of 320x240 on Intel’s dual core ivy-bridge processor. It achieves over 11 Frames per second in simultaneously tracking four independent objects of various size, shape and appearance. The results show the ability of the proposed system to track multiple independent objects efficiently at different scales, poses, lighting conditions, occlusions and also when the objects of interest move at a fast pace.