Object Tracking Algorithms for Video Surveillance Applications

Abstract

Object tracking is one of the most critical areas of research due to change in motion of object. Specifically, feature selection places a vital role in object tracking. It has wide range of applications such as object detection, traffic control, human-computer interaction, gesture recognition, video surveillance. Many approaches focus on the tracking algorithm to smoothen the video sequence in order to overcome the issues of tracking, related to object movement and appearance. These methods uses object shape, colour, texture, object of interest and motion in multi direction in tracking for video surveillance applications. This paper elaborate the exhaustive survey of various object tracking algorithms under different environmental conditions and identified efficient algorithm in various types of tracking. In this paper objects are tracked based on colour, motion of single and multiple objects (vehicles) are detected and counted in multiple frames. Further single algorithm may be designed for object tracking by considering shape, colour, texture, object of interest, motion of object in multi direction.