Representation of local geometry in the visual system
Biological Cybernetics
Finding Trajectories of Feature Points in a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Point Correspondence in the Presence of Occlusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Regularized CDWT optical flow applied to moving-target detection in IR imagery
Machine Vision and Applications
Tracking Scale-Space Blobs for Video Description
IEEE MultiMedia
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Object-based queries using color points of interest
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Tracking Feature Points: A New Algorithm
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents a generic approach for object tracking and identification in video sequences, called SAP. The object is described with two image primitives: first, its content is described with Points of interest that are automatically extracted and characterized according to an appearance-based model. Second, the object's envelope is described with a Snake. The originality of SAP consists in a complementary use of these primitives: the snake allows to reduce the points extraction to a limited area, and the point description is efficiently exploited during the snake tracking. Such a characterization is robust to wide occlusions and can be use for object identification and localization purposes. SAP has been implemented with the aim of achieving near real-time performance.