Representation of local geometry in the visual system
Biological Cybernetics
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
A Robust Analog VLSI Reichardt Motion Sensor
Analog Integrated Circuits and Signal Processing
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Intelligent Robot Vision Sensors in VLSI
Autonomous Robots
Recursive Gaussian Derivative Filters
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A Gaussian derivative-based transform
IEEE Transactions on Image Processing
Steerable wedge filters for local orientation analysis
IEEE Transactions on Image Processing
A low level real-time vision system using specific computing architectures
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Visual system based on artificial retina for motion detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A space variant mapping architecture for reliable car segmentation
ARC'07 Proceedings of the 3rd international conference on Reconfigurable computing: architectures, tools and applications
Fine grain pipeline systems for real-time motion and stereo-vision computation
International Journal of High Performance Systems Architecture
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Bio-inspired energy models compute motion along the lines suggested by the neurophysiological studies of V1 and MT areas in both monkeys and humans: neural populations extract the structure of motion from local competition among MT-like cells. We describe here a neural structure that works as a dynamic filter above this MT layer for image segmentation and takes advantage of neural population coding in the cortical processing areas. We apply the model to the real-life case of an automatic watch-out system for car-overtaking situations seen from the rear-view mirror. The ego-motion of the host car induces a global motion pattern whereas an overtaking vehicle produces a pattern that contrasts highly with this global ego-motion field. We describe how a simple, competitive, neural processing scheme can take full advantage of this motion structure for segmenting overtaking-cars