Review on Tracking Object Motion in Video
Abstract: The process of locating a moving object and identifying its movements overtime is called as Visual Object Tracking. Tracking objects in motion in video sequences to improve recognition and tracking performances has evolved as a rapidly progressing research area in the domain of image processing and computer vision. This paper proposes a literature review of different target object representation methods and tracking techniques. The paper gives a survey of different tracking techniques like Local Steering Kernels (LSK), Particle Filter (PF), Kanade Lucas Tomasi (KLT) etc. It also describes the target object representation methods grouping them into five categories giving the significance of each.
Keywords: visual object tracking, color histograms, local steering kernels, particle filter, kalman filter, kanade lucas tomasi
How to Cite?: Sandhya G. Alhat, Manasi K. Kulkarni, "Review on Tracking Object Motion in Video", Volume 4 Issue 7, July 2015, International Journal of Science and Research (IJSR), Pages: 744-748, https://www.ijsr.net/getabstract.php?paperid=SUB156405, DOI: https://dx.doi.org/10.21275/SUB156405