International Journal of Computer Vision
Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent Unmanned Ground Vehicles: Autonomous Navigation Research at Carnegie Mellon
Intelligent Unmanned Ground Vehicles: Autonomous Navigation Research at Carnegie Mellon
Vision-Aided Outdoor Navigation of an Autonomous Horticultural Vehicle
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Thresholding for Change Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Reactive Control of Zoom while Fixating Using Perspective and Affine Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multi-level planning and navigation system for a mobile robot: a first approach to HILARE
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
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In this paper, the problem of the surveillance and the security of indoor environments is addressed through the development of an autonomous surveillance vehicle (ASV). The ASV has been designed to perform the object detection by adopting an image alignment method followed by a change detection operation. Hence, in addition to the classical robotic tasks (e.g., navigation and obstacle avoiding), the tracking of objects (e.g., persons) moving in an indoor environment is considered. The tracking procedure allows the ASV to maintain the interesting objects in the centre of the image, and in specific cases to focus the image acquisition on particular parts of the object (e.g., face of a person, etc.) for recognition purposes. Experimental results have been performed on different real scenarios where no objects moves inside the monitored scene and where at least one moving object is into the scene.