Abstract
Evaluation results of a vehicle tracking system on a given set of evaluation videos of a street surveillance system are presented. The method largely depends on detection of motion by comparison with a learned background model. Several difficulties of the task are overcome by the use of general constrains of scene, camera and vehicle models. An analysis of results is also presented.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Kasturi, R., Goldgof, D., Soundararajan, P., Manohar, V., Boonstra, M., Korzhova, V.: Performance Evaluation Protocal for Face, Person and Vehicle Detection & Tracking in Video Analysis and Centent Extraction (VACE-II). In: CLEAR - Classification of Events, Activities and Relationships (2006), http://www.nist.gov/speech/tests/clear/2006/CLEAR06-R106-EvalDiscDoc/DataandInformation/ClearEval_Protocol_v5.pdf
Li, L., Huang, W., Gu, I.Y.H., Tian, Q.: Foreground Object Detection from Videos Containing Complex Background. ACM MM (2003)
Comaniciu, D., Ramesh, V., Meer, P.: Real-time tracking of non-rigid objects using mean shift. In: IEEE Conf. on Computer Vision and Pattern Recognition 2001, vol.1, pp. 511–518 (2001)
Lv, F., Zhao, T., Nevatia, R.: Self-Calibration of a Camera from Video of a Walking Human. In: 16th International Conference on Pattern Recognition (ICPR), Quebec, Canada (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Song, X., Nevatia, R. (2007). Robust Vehicle Blob Tracking with Split/Merge Handling. In: Stiefelhagen, R., Garofolo, J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69568-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-69568-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69567-7
Online ISBN: 978-3-540-69568-4
eBook Packages: Computer ScienceComputer Science (R0)