Driving saccade to pursuit using image motion
International Journal of Computer Vision
Approximation algorithms for time-dependent orienteering
Information Processing Letters
VS '98 Proceedings of the 1998 IEEE Workshop on Visual Surveillance
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Face Cataloger: Multi-Scale Imaging for Relating Identity to Location
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
A Scalable Image-Based Multi-Camera Visual Surveillance System
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
A master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Scheduling an active camera to observe people
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Acquiring Multi-Scale Images by Pan-Tilt-Zoom Control and Automatic Multi-Camera Calibration
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Pre-Attentive Face Detection for Foveated Wide-Field Surveillance
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Multirobot Task Assignment in Active Surveillance
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Online control of active camera networks for computer vision tasks
ACM Transactions on Sensor Networks (TOSN)
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This paper considers the problem of designing an active observer to plan a sequence of decisions regarding what target to look at, through a foveal-sensing action. We propose a framework in which a pan/tilt/zoom (PTZ) camera schedules saccades in order to acquire high resolution images (at least one) of as many moving targets as possible before they leave the scene. An intelligent choice of the order of sensing the targets can significantly reduce the total dead-time wasted by the active camera and, consequently, its cycle time. The grabbed images provide meaningful identification imagery of distant targets which are not recognizable in a wide angle view. We cast the whole problem as a particular kind of dynamic discrete optimization. In particular, we will show that the problem can be solved by modelling the attentional gaze control as a novel on-line dynamic vehicle routing problem (DVRP) with deadlines. Moreover we also show how multi-view geometry can be used for evaluating the cost of high resolution image sensing with a PTZ camera.Congestion analysis experiments are reported proving the effectiveness of the solution in acquiring high resolution images of a large number of moving targets in a wide area. The evaluation was conducted with a simulation using a dual camera system in a master-slave configuration. Camera performances are also empirically tested in order to validate how the manufacturer's specification deviates from our model using an off-the-shelf PTZ camera.