Paper-06 | Reg. No.:20140906|DOI:V3I2P06
Real Time TLD-BOT Tracking Learning Detection using Robot
Poonam Shah, Prof. K.Narayanan ,Electronic Department,Fr.Conceicao Rodrigues College of Engineering Bandra, Mumbai University, India.
Present method of object tracking perform adaptive tracking by detection, meaning that a detector predicts the position of an object and adapts its parameters to the objects appearance at the same time. To enable long term tracking, there are number of problems which need to be addressed. The key problem is the detection of an object when it reappears in the camera’s field of view or the object may change its appearances from the initial frame. Long term trackers should handle scale and illumination changes, background changes; here we propose the TLD framework that overcomes these problems. A novel system for real time tracking of any object is built on the Tracking Learning Detection (TLD) approach. In specialized variations of this approach a video from any source is constantly monitored. The user is asked to select an object from the frame of the video. Once the user has selected the object, it is constantly tracked and the system intelligently recognizes minor changes in the appearance of the object and continues tracking it. The software platform used is the programming language C# and the library of programming function is called Open CV.
