Computing the minimum Hausdorff distance between two point sets on a line under translation
Information Processing Letters
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Covariance Tracking using Model Update Based on Lie Algebra
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Non-overlapping Distributed Tracking using Particle Filter
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
ViSE: Visual Search Engine Using Multiple Networked Cameras
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Clustering Billions of Images with Large Scale Nearest Neighbor Search
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Carnegie Mellon University traditional informedia digital video retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
Continuous tracking within and across camera streams
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Multiple hypothesis target tracking using merge and split of graph’s nodes
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Region covariance: a fast descriptor for detection and classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Activity Representation in Crowd
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Appearance based retrieval for tracked objects in surveillance videos
Proceedings of the ACM International Conference on Image and Video Retrieval
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In this paper, we present an approach for addressing the 'query by example' problem in video surveillance, where a user specifies an object of interest and would like the system to return some images (e.g. top five) of that object or its trajectory by searching a large network of overlapping or non-overlapping cameras. The approach proposed is based on defining an appearance model for every detected object or trajectory in the network of cameras. The model integrates relative position, color, and texture descriptors of each detected object. We present a 'pseudo track' search method for querying using a single appearance model. Moreover, the availability of tracking within every camera can further improve the accuracy of such association by incorporating information from several appearance models belonging to the object's trajectory. For this purpose, we present an automatic clustering technique allowing us to build a multi-valued appearance model from a collection of appearance models. The proposed approach does not require any geometric or colorimetric calibration of the cameras. Experiments from a mass transportation site demonstrate some promising results.