Salient stills: process and practice
IBM Systems Journal
A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Ordinal Measures for Visual Correspondence
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Background Subtraction and Shadow Detection in Grayscale Video Sequences
SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
Template Matching Techniques in Computer Vision: Theory and Practice
Template Matching Techniques in Computer Vision: Theory and Practice
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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Over the last decade, there has been an increasing emphasis on driver-assistance systems for the automotive domain. In this article, we report our work on designing a camera-based surveillance system embedded in a “smart” car door. Such a camera is used to monitor the ambient environment outside the car, for instance, the presence of obstacles such as approaching cars or cyclists who might collide with the car door if opened—and automatically control the car door operations. This is an enhancement to the currently available side-view mirrors that the driver/passenger checks before opening the car door. The focus of this article is on fast and robust image processing algorithms specifically targeting such a smart car door system. The requirement is to quickly detect traffic objects of interest from grayscale images captured by omnidirectional cameras. While known algorithms for object extraction from the image processing literature rely on color information and are sensitive to shadows and illumination changes, our proposed algorithms are highly robust, can operate on grayscale images (color images are not available in our setup), and output results in real time. We present a number of experimental results based on image sequences captured from real-life traffic scenarios to demonstrate the applicability of our algorithm.