Abstract
A single camera cannot provide a broad perspective and provide the details of monitoring targets at the same time. This paper design a dual camera system based on a wide-angle camera used to provide a wide-angle visual field and a close-up camera used to provide the details of moving targets. The real-time video data are firstly acquired based on DirectShow. Secondly, a Gaussian mixture model and Kalman filter are used to detect and track the moving targets, respectively. In order to realize the collaborative relationship among the dual camera, the conversion model among coordinate systems is established. Finally, the PID algorithm is used to driver the close-up camera to make the target locate in the center of its visual field. Experimental results demonstrate the effectiveness of the proposed method.
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 subscriptionsReferences
Sato K, Maeda T, Kato H, Inokuchi S (1994) CAD-Based Object Tracking with Distributed Monocular Camera Security Monitoring[R]. Second CAD-Based Vision Workshop, Champion, pp 291–297
Meyer M, Hotter M, Ohmacht H (1998) New options in video surveillance applications using multiple views of a scene[C]. In: International Carnahan conference on security technology, Alexandria, VA, pp 216–219
Choi HC, Park U, Jain AK (2010) PTZ camera assisted face acquisition, tracking and recognition[C]. In: Fourth IEEE international conference on biometrics, Washington, DC, pp 1–6
Lain B, Ghidoni S, Menegatti E (2011) Robust object tracking in a dual camera sensor[C]. In: 4th International conference on human system interactions (HSI), Yokohama, pp 150–157
Xiao Z, Liang J (2006) Design and implementation of network based video monitoring system using DirectShow [J]. Comput Eng Appl 12(1):1–5
Manhong L, Xingming S, Gaobo Y (2006) The design and implementation of video transmit filter based on DirectShow. Sci Technol Eng Beijing 6(15):2281–2285
Stauffer C, Grimson W.E.L (1999) Adaptive background mixture models for real-time tracking[C]. In: IEEE Computer society conference, Fort Collins, CO, pp 246–252
Luo J, Zhu J (2010) Adaptive Gaussian mixture model based on feedback mechanism[C]. In: International conference on computer design and applications (ICCDA), Qinhuangdao, pp 177–181
Chen G, Chui CK (2011) A modified adaptive Kalman filter for real-time applications[C]. In: 4th International conference on human system interactions (HSI), Yokohama, pp 150–157
Tafti AD, Sadati N (2008) Novel adaptive Kalman filtering and fuzzy track fusion approach for real time applications[C]. In: 3rd IEEE Conference on industrial electronics and applications, Singapore, pp 120–125
Zhang L, Xu K, Yu S, Fu R, Xu Y (2010) An effective approach for active tracking with a PTZ camera[C]. In: IEEE International conference on robotics and biomimetics (ROBIO), Tianjin, pp 1768–1773
Acknowledgements
We would like to thank the supports by National Natural Science Foundation of China (61203321), China Postdoctoral Science Foundation (2012M521676), China Central Universities Foundation (106112015CDJXY170003), Chongqing Special Funding in Postdoctoral Scientific Research Project (XM2013007), Chongqing Funding in Postgraduate Research Innovation Project (CYB14023) and the National College Students’ Innovative Experiment Project (201410611053).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, P., Cao, Y., Deng, P., Yin, H. (2016). A Dual Camera System for Moving Objects Close-up Tracking. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-662-48365-7_32
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48363-3
Online ISBN: 978-3-662-48365-7
eBook Packages: EngineeringEngineering (R0)