Computation of component image velocity from local phase information
International Journal of Computer Vision
Attentional scene segmentation: integrating depth and motion
Computer Vision and Image Understanding
Artificial Intelligence
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Segmentation from motion of non-rigid objects by neuronal lateral interaction
Pattern Recognition Letters
EMBOT: an enhanced motion-based object tracker
Journal of Systems and Software
A phase-based approach to the estimation of the optical flow field using spatial filtering
IEEE Transactions on Neural Networks
Stereovision depth analysis by two-dimensional motion charge memories
Pattern Recognition Letters
Development of intelligent multisensor surveillance systems with agents
Robotics and Autonomous Systems
Expert Systems with Applications: An International Journal
Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
The Underlying Formal Model of Algorithmic Lateral Inhibition in Motion Detection
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Revisiting Algorithmic Lateral Inhibition and Accumulative Computation
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Segmenting Humans from Mobile Thermal Infrared Imagery
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Real-time motion detection by lateral inhibition in accumulative computation
Engineering Applications of Artificial Intelligence
Comparison of accumulative computation with traditional optical flow
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Algorithmic lateral inhibition formal model for real-time motion detection
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
A proposal for local and global human activities identification
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Optical flow or image subtraction in human detection from infrared camera on mobile robot
Robotics and Autonomous Systems
Robust people segmentation by static infrared surveillance camera
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Review: on the use of agent technology in intelligent, multisensory and distributed surveillance
The Knowledge Engineering Review
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
A dynamic saliency attention model based on local complexity
Digital Signal Processing
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A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these features to segment the input scene. The aim of this paper is to highlight the importance of the motion features present in our algorithms in the task of refining and/or enhancing scene segmentation in the method proposed. The estimation of these motion parameters is performed at each pixel of the input image by means of the accumulative computation method, using the so-called permanency memories. The paper shows some examples of how to use the ''motion presence'', ''module of the velocity'' and ''angle of the velocity'' motion features, all obtained from accumulative computation method, to adjust different scene segmentation outputs in this dynamic visual attention method.