Dr. Navneet S. Ghedia (Principal)
Sanjaybhai Rajguru College of Engineering, Rajkot, Gujarat, India.

Dr. Dipesh Kamdar (Assistant Professor)
VVP Engineering College, Rajkot, Gujarat, India.

 Palakkumar Bhatt & Kirit Bhalsod
Gujarat Technological University, Ahmedabad, Gujarat, India.


Smart video surveillance system requires robust and adaptive foreground detection and tracking approach. Usually, an intelligent and vigilant surveillance system determines the location and behaviour of the moving objects and also to identify the apprehensive activities carried out by the moving objects in the video sequences. This paper exhibits the comprehensive literature review of various tracking methods pertaining to the robust surveillance in indoor and outdoor environment. Motion detection or foreground detection is really an important task but to track the foreground in presence of many constrains is really a challenging task. Exact tracking requires the correct position and information of the moving objects in consecutive frames. Our objective is to provide the rigorous and comprehensive study of the various object tracking approaches under challenging environments. Our aim is to present the tracking feature descriptors for the better tracking. The tracking accuracy and performance of the tracking algorithm is ultimately depends on the robust background estimation and exact background information. This paper describes the various state of the art object tracking approaches, usually classifieds in to various categories such as mathematical approach, point tracking, kernel tracking and silhouette tracking approaches. The aim of the study is to handle the various datasets and real time video sequences challenges. In spite of all the literature survey still some of the challenges like object abrupt motion, too slow and too fast moving objects, object complex silhouette, object appearance and camera motion are challenging issues for the researchers.