Coopetitive visual surveillance using Model Predictive Control

Vivek Singh, Pradeep K. Atrey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Active cooperative sensing with multiple sensors is being actively researched in visual surveillance. However, active cooperative sensing often suffers from the delay in information exchange among the sensors and also from sensor reaction delays. This is because simplistic control strategies like Proportional Integral Differential (PID), that do not employ the look-ahead strategy, often fail to counterbalance these delays at real time. Hence, there is a need for more sophisticated interaction and control mechanisms that can overcome the delay problems. In this paper, we propose a coopetitive framework using Model Predictive Control (MPC) which allows the sensors to not only 'compete' as well as 'cooperate' with each other to perform the designated task in the best possible manner but also to dynamically swap their roles and sub-goals rather than just the parameters. MPC is used as a feedback control mechanism to allow sensors to react not only based on past observations but also on possible future events. We demonstrate the utility of our framework in a dual camera surveillance setup with the goal of capturing the high resolution images of intruders in the surveyed rectangular area e.g. an ATM lobby or a museum. The results are promising and clearly establish the efficacy of coopetition as an effective form of interaction between sensors and MPC as a superior feedback mechanism than the PID.

Original languageEnglish (US)
Title of host publicationVSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005
PublisherAssociation for Computing Machinery, Inc
Pages149-158
Number of pages10
ISBN (Electronic)1595932429, 9781595932426
DOIs
StatePublished - Nov 11 2005
Event3rd ACM International Workshop on Video Surveillance and Sensor Networks, VSSN 2005 - Singapore, Singapore
Duration: Nov 11 2005 → …

Publication series

NameVSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005

Other

Other3rd ACM International Workshop on Video Surveillance and Sensor Networks, VSSN 2005
CountrySingapore
CitySingapore
Period11/11/05 → …

Fingerprint

Model predictive control
Sensors
Museums
Automatic teller machines
Image resolution
Feedback control
Cameras
Feedback

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

Keywords

  • Coopetition
  • Model predictive control
  • Visual surveillance

Cite this

Singh, V., & Atrey, P. K. (2005). Coopetitive visual surveillance using Model Predictive Control. In VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005 (pp. 149-158). (VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005). Association for Computing Machinery, Inc. https://doi.org/10.1145/1099396.1099422
Singh, Vivek ; Atrey, Pradeep K. / Coopetitive visual surveillance using Model Predictive Control. VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005. Association for Computing Machinery, Inc, 2005. pp. 149-158 (VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005).
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Singh, V & Atrey, PK 2005, Coopetitive visual surveillance using Model Predictive Control. in VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005. VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005, Association for Computing Machinery, Inc, pp. 149-158, 3rd ACM International Workshop on Video Surveillance and Sensor Networks, VSSN 2005, Singapore, Singapore, 11/11/05. https://doi.org/10.1145/1099396.1099422

Coopetitive visual surveillance using Model Predictive Control. / Singh, Vivek; Atrey, Pradeep K.

VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005. Association for Computing Machinery, Inc, 2005. p. 149-158 (VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Active cooperative sensing with multiple sensors is being actively researched in visual surveillance. However, active cooperative sensing often suffers from the delay in information exchange among the sensors and also from sensor reaction delays. This is because simplistic control strategies like Proportional Integral Differential (PID), that do not employ the look-ahead strategy, often fail to counterbalance these delays at real time. Hence, there is a need for more sophisticated interaction and control mechanisms that can overcome the delay problems. In this paper, we propose a coopetitive framework using Model Predictive Control (MPC) which allows the sensors to not only 'compete' as well as 'cooperate' with each other to perform the designated task in the best possible manner but also to dynamically swap their roles and sub-goals rather than just the parameters. MPC is used as a feedback control mechanism to allow sensors to react not only based on past observations but also on possible future events. We demonstrate the utility of our framework in a dual camera surveillance setup with the goal of capturing the high resolution images of intruders in the surveyed rectangular area e.g. an ATM lobby or a museum. The results are promising and clearly establish the efficacy of coopetition as an effective form of interaction between sensors and MPC as a superior feedback mechanism than the PID.

AB - Active cooperative sensing with multiple sensors is being actively researched in visual surveillance. However, active cooperative sensing often suffers from the delay in information exchange among the sensors and also from sensor reaction delays. This is because simplistic control strategies like Proportional Integral Differential (PID), that do not employ the look-ahead strategy, often fail to counterbalance these delays at real time. Hence, there is a need for more sophisticated interaction and control mechanisms that can overcome the delay problems. In this paper, we propose a coopetitive framework using Model Predictive Control (MPC) which allows the sensors to not only 'compete' as well as 'cooperate' with each other to perform the designated task in the best possible manner but also to dynamically swap their roles and sub-goals rather than just the parameters. MPC is used as a feedback control mechanism to allow sensors to react not only based on past observations but also on possible future events. We demonstrate the utility of our framework in a dual camera surveillance setup with the goal of capturing the high resolution images of intruders in the surveyed rectangular area e.g. an ATM lobby or a museum. The results are promising and clearly establish the efficacy of coopetition as an effective form of interaction between sensors and MPC as a superior feedback mechanism than the PID.

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Singh V, Atrey PK. Coopetitive visual surveillance using Model Predictive Control. In VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005. Association for Computing Machinery, Inc. 2005. p. 149-158. (VSSN 2005 - Proceedings of the 3rd ACM International Workshop on Video Surveillance and Sensor Networks, co-located with ACM Multimedia 2005). https://doi.org/10.1145/1099396.1099422