Integrating active perception with an autonomous robot architecture
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Incremental Focus of Attention for Robust Vision-Based Tracking
International Journal of Computer Vision
Tracking While Zooming Using Affine Transfer and Multifocal Tensors
International Journal of Computer Vision
The Construction of 3 Dimensional Models Using an Active Vision System
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Towards Robust Perception and Model Integration
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Animate vision in a rich environment
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
FPGA based disparity map computation with vergence control
Microprocessors & Microsystems
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We present a binocular active vision system that can attend to and fixate a moving target. Our system has an open and expandable design and it forms the first steps of a long term effort towards developing an active observer using vision to interact with the environment, in particular capable of figure-ground segmentation. We also present partial real-time implementations of this system and show their performance in real-world situations together with motor control. In pursuit we particularly focus on occlusions of other targets, both stationary and moving, and integrate three cues, ego-motion, target motion and target disparity, to obtain an overall robust behavior. An active vision system must be open, expandable, and operate with whatever data are available momentarily. It must also be equipped with means and methods to direct and change its attention. This system is therefore equipped with motion detection for changing attention and pursuit for maintaining attention, both of which run concurrently.