SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The nature of statistical learning theory
The nature of statistical learning theory
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
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
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
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
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive retrieval of targets for wide area surveillance
Proceedings of the international conference on Multimedia
Real-time detection of unusual regions in image streams
Proceedings of the international conference on Multimedia
Color based tracing in real-life surveillance data
Transactions on data hiding and multimedia security V
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While surveillance cameras are a powerful tool for the prevention, detection and resolving of crimes, for most cases the amount of video data has become unmanageable. To ease the analysis, various automatic methods have been proposed, focusing on data-management, detecting suspicious behavior, person recognition, or event reconstruction. In this paper we focus on event reconstruction, in particular on tracing the whereabouts of people. The standard approach for such event reconstruction is to first detect persons in single frames and then match a query to all detections to retrieve the same person in multiple cameras. However, since the number of detected persons is large and performance of matching techniques limited, this process is slow and prone to errors. Intelligent interactive techniques are urged for. We propose to represent detected persons by their complete track within a single camera instead of a single detection and thereby reduce the search-space. On these tracks we use Relevance Feedback to improve recall with only a small effort of the user. Testing the tracking method on a benchmark dataset and a real-life dataset led to a reduction of the search space of 90%, while tracing accuracy based on the distance between tracks improved recall by up to 110% when compared to random tracing. Adding Relevance Feedback led to an additional improvement in recall of up to 400% compared to sequential scanning using the same number of visual assessments.