Preattentive processing in vision
Computer Vision, Graphics, and Image Processing
Tracking and data association
On active contour models and balloons
CVGIP: Image Understanding
Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Active vision
A head-eye system—analysis and design
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Real-time binocular smooth pursuit
International Journal of Computer Vision
An inhibitory beam for attentional selection
Proceedings of the 1991 York conference on Spacial vision in humans and robots
Using intermediate objects to improve the efficiency of visual search
International Journal of Computer Vision - Special issue on active vision II
Toward a computational model of visual attention
Early vision and beyond
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
X Vision: a portable substrate for real-time vision applications
Computer Vision and Image Understanding
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Tracking with an Active Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Attentional Prototype for Early Vision
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Multi-Modal Tracking of Faces for Video Communications
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Gesture recognition using the Perseus architecture
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Visual Interaction With Lifelike Characters
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Animat vision: Active vision in artificial animals
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Towards an active visual observer
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Optimal Window Size for Visual Tracking for Uniform CCDs
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
A Computational Model of Depth-Based Attention
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Toward a dynamical pick and place
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 2 - Volume 2
Robust vision-based object tracking
Robust vision-based object tracking
If at first you don't succeed...
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gaze Awareness for Video-Conferencing: A Software Approach
IEEE MultiMedia
Clear face analysis from MPEG compressed video
Proceedings of the tenth ACM international conference on Multimedia
Towards Robust Multi-cue Integration for Visual Tracking
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Dynamic Aspects of Visual Servoing and a Framework for Real-Time 3D Vision for Robotics
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Real-time View-based Face Alignment using Active Wavelet Networks
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Computer Vision and Image Understanding
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
Image and Vision Computing
Mutual Information-Based 3D Object Tracking
International Journal of Computer Vision
Foundations and Trends in Robotics
Computer Vision and Image Understanding
Efficient particle filtering using RANSAC with application to 3D face tracking
Image and Vision Computing
A wavelet subspace method for real-time face tracking
Real-Time Imaging
VICs: a modular vision-based HCI framework
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
3D SSD tracking from uncalibrated video
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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We present the Incremental Focusof Attention (IFA) architecture for robust, adaptive, real-time motiontracking. IFA systems combine several visual search and vision-based trackingalgorithms into a layered hierarchy. The architecture controlsthe transitions between layers and executes algorithms appropriate tothe visual environment at hand: When conditions are good, tracking isaccurate and precise; as conditions deteriorate, more robust, yet lessaccurate algorithms take over; when tracking is lost altogether, layerscooperate to perform a rapid search for the target and continue tracking.Implemented IFA systems are extremely robust to most common types oftemporary visual disturbances. They resist minor visual perturbancesand recover quickly after full occlusions, illumination changes, majordistractions, and target disappearances. Analysis of the algorithm‘srecovery times are supported by simulation results and experiments onreal data. In particular, examples show that recovery times after losttracking depend primarily on the number of objects visually similar tothe target in the field of view.