Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Analysis of gray level corner detection
Pattern Recognition Letters
Robust detection of significant points in multiframe images
Pattern Recognition Letters
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data- and Model-Driven Gaze Control for an Active-Vision System
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Focus-of-Attention from Local Color Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Context-free detection of events
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
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This paper proposes a detector for spatio-temporal interest points. Interest point detection is a common technique in computer vision to extract salient regions and represent them by a single point for further processing. But while many algorithms exist for static images, there is hardly any method to obtain interest points from image sequences for the representation of salient motion. Here we introduce SUSANinTime, an extension of the well known SUSAN algorithm from 2D to 2D+1D, where the third dimension is time. While SUSAN-2D extracts edge- and corner points, SUSANinTime detects basic events such as turning points of object trajectories. To find out the type and saliency of the detected events, we analyze the second order statistics of the spatio-temporal volume surrounding the interest points in real world image sequences.