Evaluation of TLD/Predator algorithm : Evaluation of TLD(aka Predator) algorithm used for real-time tracking of unknownobjects in a video stream from eye tracking perspective.

Abstract: Abstract TLD is an award-winning, real-time algorithm for long-term tracking of unknown objects in video streams. The object of interest is defined by a bounding box in a single frame. TLD simultaneously tracks the object, Learns its appearance and Detects it whenever it appears in the video. The result is a real-time tracking that typically improves over time. Long-term tracking of arbitrary objects is a the core problem in many computer vision applications: surveillance, object auto-focus, SLAM, games, HCI, video annotation etc. The following work is done: 1. The OpenTLD algorithm is extended for Multi-Object Tracking. 2. The OpenTLD algorithm is evaluated (i.e. problems with the algorithm, usability of the algorithm), specially from Eye tracking perspective. 3. The OpenTLD algorithm is compared with other tracking algorithm e.g. Mean shift in OpenCV in terms of tracking performance. 4. Some enhancements to the OpenTLD algorithm are made.