A survey on moving object tracking using image processing

Image processing is a method of extracting some useful information by converting image into digital inform by performing some operations on it. Object detection and tracking are the task that is important and challenging such as video surveillance and vehicle navigation. Video surveillance is a technology which works in dynamic environment in various events such as sports, public safety, and management of traffic. This paper reviews the various challenges and aspects of detection and tracking of objects.

[1]  Rahul Mishra,et al.  Multiple Object Tracking by Kernel Based Centroid Method for Improve Localization , 2012 .

[2]  U. K. Jaliya,et al.  A Survey on Object Detection and Tracking Methods , 2014 .

[3]  Prashant Krishan,et al.  Moving Object Tracking using Gaussian Mixture Model and Optical Flow , 2013 .

[4]  P. Panchal,et al.  A Review on Object Detection and Tracking Methods , 2015 .

[5]  Rachid Deriche,et al.  Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Rupali S. Rakibe,et al.  Background Subtraction Algorithm Based Human Behavior Detection , 2014 .

[7]  Pramod R. Gunjal,et al.  Moving Object Tracking Using Kalman Filter , 2018, 2018 International Conference On Advances in Communication and Computing Technology (ICACCT).

[8]  Qinghai Bai,et al.  Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..

[9]  Jae-Yeong Lee,et al.  Visual tracking by partition-based histogram backprojection and maximum support criteria , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[10]  Jian Ding,et al.  Object Tracking and Detecting Based on Adaptive Background Subtraction , 2012 .

[11]  Richard Comley,et al.  Colour space effect on tracking in video surveillance , 2010 .

[12]  Daniel Alazard Introduction to Kalman Filtering , 2005 .

[13]  J. Athanesious,et al.  Systematic Survey on Object Tracking Methods in Video , 2012 .

[14]  M. Sankari,et al.  Estimation of Dynamic Background and Object Detection in Noisy Visual Surveillance , 2011 .

[15]  K. A. Joshi,et al.  A Survey on Moving Object Detection and Tracking in Video Surveillance System , 2012 .

[16]  Darshak G Thakore,et al.  Moving Object Tracking Using Kalman Filter , 2013 .

[17]  Chandrika Kamath,et al.  Robust techniques for background subtraction in urban traffic video , 2004, IS&T/SPIE Electronic Imaging.

[18]  A. Rosenfeld,et al.  Background Subtraction Algorithm Based Human Motion Detection , 2013 .