Abstract
Object tracking in video sequences is a very important topic and has various applications in video compression, surveillance, robot technology, etc. In many applications, the focus is on tracking moving object. Object tracking is the problem of generating an inference about the motion of an object from the sequence of frames in a video. In this paper, we propose a method for tracking moving objects in video sequences.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kim, N.W., Kim, T.Y., Choi, J.S.: Motion Analysis using the Normalization of Motion Vectors on MPEG Compressed Domain. In: International Technical Conference on Circuits/Systems, Computers and Communications, Phuket, Thailand, vol. 3, pp. 408–1411 (2002)
Zang, Q., Klette, R.: Object Classification and Tracking in Video Surveillance. Technical report 128, Communication and Information Technology Resarch, The University of Aukland (2003)
Zhou, Q., Aggrwal, J.K.: Tracking and Classifing Moving Objects from Video. In: 2nd IEEE Workshop on Performance Evaluation of Tracking and Surveillance, Kauai, Hawaii, USA ((2001)
Cohen, I., Medioni, G.: Detecting and Tracking Moving Objects for Video Surveillance. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, vol. 2, pp. 2319–2325 (1999)
Achler, O., Trivedi, M.M.: Camera Based Vehicle Detection, Tracking, and Wheel Baseline Estimation Approach. In: 7th International IEEE Conference on Intelligent Transportation Systems, Washington, D.C, pp. 743–748 (2004)
Rosenberg, Y., Werman, M.: Real-Time Tracking from a Moving Video Camera: A Software Approach on a PC. In: 4th IEEE Workshop on Applications of Computer Vision, Princeton, NJ, USA, pp. 238–239 (1998)
Porikli, F.: Real-Time Video Object Segmentation for MPEG Encoded Video Sequences. In: 8th SPIE Conference on Real-Time Imaging, San Jose, vol. 5297, pp. 195–203 (2004)
Symes, P.: Video Compression Demystified. McGraw Hill, International Edition (2001)
Yokoyama, T., Iwasaki, T., Watanabe, T.: Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain. In: 7th IEEE Workshop on Content-Based Multimedia Indexing, Chania, pp. 201–206 (2009)
Yokoyoama, T., Ota, S., Watanabe, T.: Noisy MPEG Motion Vector Reduction for Motion Analysis. In: 6th IEEE International Conference on Advanced Video Signal Based Surveillance, Genova, pp. 274–279 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jayabalan, E., Krishnan, A. (2011). Detection and Tracking of Moving Object in Compressed Videos. In: Das, V.V., Stephen, J., Chaba, Y. (eds) Computer Networks and Information Technologies. CNC 2011. Communications in Computer and Information Science, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19542-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-19542-6_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19541-9
Online ISBN: 978-3-642-19542-6
eBook Packages: Computer ScienceComputer Science (R0)