Object tracking and classification under illumination variations
Ushma Joshi,  Khyati Patel
The aim of object tracking is segmenting a region of interest from a video scene and keeping track of its positioning, occlusion and motion. The object detection and classification are main steps for tracking an object in sequence of images. Object detection is used to check objects’ existence in video and to precisely locate that object. After that detected object can be classified in various categories such as vehicles, humans, birds, swaying tree, floating clouds and other moving objects. Object tracking can be performed using monitoring objects’ spatial and temporal changes during a video sequence, including its position, size, shape, presence, etc. Object tracking is used in various applications like video surveillance, traffic monitoring, robot vision, Video inpainting and Animation. This paper presents a brief survey of different object detection, object classification and object tracking algorithms are available in the literature. It includes analysis and comparative study of different techniques used for various stages of tracking.
Keywords- Object Detection, Object Tracking, Object Classification
Cite this Article
Ushma Joshi,  Khyati Patel,   "Object tracking and classification under illumination variations"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.667-670, March 2016, Available at :http://www.ijedr.org/papers/IJEDR1601115.pdf