FlySPEC: a multi-user video camera system with hybrid human and automatic control
Proceedings of the tenth ACM international conference on Multimedia
A master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Adaptive visual object surveillance with continuously moving panning camera
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Coopetitive visual surveillance using model predictive control
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Extending surveillance systems capabilities using BDI cooperative sensor agents
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
Smart meeting systems: A survey of state-of-the-art and open issues
ACM Computing Surveys (CSUR)
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
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We present a generic framework for enhanced active multi-sensing. We propose a coopetitive interaction approach, which combines the salient features of cooperation and competition with an aim to optimize the cooperation among sensors to achieve best results at the system level rather than redundantly implementing cooperation at each stage. We also employ model predictive control based forward state estimation method for counter-acting various delays faced in multi-sensor environments. The results obtained for two different visual surveillance adaptations with different number of cameras and different surveillance goals provide clear evidence for the improvements created by adoption of the proposed enhancements.