A novel algorithm for color constancy
International Journal of Computer Vision
The nature of statistical learning theory
The nature of statistical learning theory
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Creating Efficient Codebooks for Visual Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Computer Vision and Image Understanding
Biometric System and Data Analysis: Design, Evaluation, and Data Mining
Biometric System and Data Analysis: Design, Evaluation, and Data Mining
CASSANDRA: audio-video sensor fusion for aggression detection
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Multi-target tracking in time-lapse video forensics
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Cascade of descriptors to detect and track objects across any network of cameras
Computer Vision and Image Understanding
Region covariance: a fast descriptor for detection and classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
IEEE Transactions on Image Processing
Trajectory-Based Anomalous Event Detection
IEEE Transactions on Circuits and Systems for Video Technology
Semi-interactive tracing of persons in real-life surveillance data
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Track based relevance feedback for tracing persons in surveillance videos
Computer Vision and Image Understanding
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
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For post incident investigation a complete reconstruction of an event is needed based on surveillance footage of the crime scene and surrounding areas. Reconstruction of the whereabouts of the people in the incident requires the ability to follow persons within a camera's field-of-view (tracking) and between different cameras (tracing). In constrained situations a combination of shape and color information is shown to be best at discriminating between persons. In this paper we focus on person tracing between uncalibrated cameras with non-overlapping field-of-view. In these situations standard image matching techniques perform badly due to large, uncontrolled variations in viewpoint, light source, background and shading. We show that in these unconstrained real-life situations, tracing results are very dependent on the appearance of the subject.