Object tracking under illumination variations using 2D-cepstrum characteristics of the target
2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28490
Most video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Therefore, accurate tracking of an object under varying scene conditions is crucial for robustness. It is well known that illumination variations on the observed scene and target are an obstacle against robust object tracking causing the tracker lose the target. In this paper, a 2D-cepstrum based approach is proposed to overcome this problem. Cepstral domain features extracted from the target region are introduced into the covariance tracking algorithm and it is experimentally observed that 2D-cepstrum analysis of the target object provides robustness to varying illumination conditions. Another contribution of the paper is the development of the co-difference matrix based object tracking instead of the recently introduced covariance matrix based method. ©2010 IEEE.
- Conference Paper 2294
Showing items related by title, author, creator and subject.
Aman, Aytek (Bilkent University, 2014)Augmented reality (AR) is the enhancement of real scenes with virtual entities. It is used to enhance user experience and interaction in various ways. Educational applications, architectural visualizations, military ...
Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters Gulmezoglu, B.; Guldogan, M.B.; Gezici, S. (Institute of Electrical and Electronics Engineers Inc., 2015)In this paper, we investigate the use of Gaussian mixture probability hypothesis density filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor environment. An experimental setup consisting ...
Baysal S.; Duygulu P. (Institute of Electrical and Electronics Engineers Inc., 2016)Tracking multiple players is crucial to analyze soccer videos in real time. Yet, rapid illumination changes and occlusions among players who look similar from a distance make tracking in soccer very difficult. Particle-f ...