Tracking and data association
A review of statistical data association for motion correspondence
International Journal of Computer Vision
Reasoning about Noisy Sensors (and Effectors) in the Situation Calculus
RUR '95 Proceedings of the International Workshop on Reasoning with Uncertainty in Robotics
Modeling Web sources for information integration
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
IEEE Intelligent Systems
A Heterogeneous Field Matching Method for Record Linkage
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
KNIGHT/spl trade/: a real time surveillance system for multiple and non-overlapping cameras
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
ACM Computing Surveys (CSUR)
A temporal fusion strategy for cross-camera data association
Pattern Recognition Letters
Non-overlapping Distributed Tracking System Utilizing Particle Filter
Journal of VLSI Signal Processing Systems
Computer Vision and Image Understanding
Incremental, scalable tracking of objects inter camera
Computer Vision and Image Understanding
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Computer Vision and Image Understanding
Self-calibration of a vision-based sensor network
Image and Vision Computing
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Automated visual surveillance in computer vision
AMTA'09 Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications
Tracking many objects with many sensors
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A Robust and Efficient Approach for Human Tracking in Multi-camera Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Trajectory Association and Fusion across Partially Overlapping Cameras
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
Distributed tracking in a large-scale network of smart cameras
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Traffic modeling and prediction using camera sensor networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Inter-camera association of multi-target tracks by on-line learned appearance affinity models
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Entropy-based localization of textured regions
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
A stochastic approach to tracking objects across multiple cameras
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata
Multimedia Tools and Applications
Traffic modeling and prediction using sensor networks: Who will go where and when?
ACM Transactions on Sensor Networks (TOSN)
Communications challenges in the Celtic-BOSS project
NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Statistical inference of motion in the invisible
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Vehicle matching in smart camera networks using image projection profiles at multiple instances
Image and Vision Computing
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Object identification--the task of deciding that two observed objects are in fact one and the same object--is a fundamental requirement for any situated agent that reasons about individuals. Object identity, as represented by the equality operator between two terms in predicate calculus, is essentially a first-order concept. Raw sensory observations, on the other hand, are essentially propositional-- especially when formulated as evidence in standard probability theory. This paper describes patterns of reasoning that allow identity sentences to be grounded in sensory observations, thereby bridging the gap. We begin by defining a physical event space over which probabilities are defined. We then introduce an identity criterion, which selects those events that correspond to identity between observed objects. From this, we are able to compute the probability that any two objects are the same, given a stream of observations of many objects. We show that the appearance probability, which defines how an object can be expected to appear at subsequent observations given its current appearance, is a natural model for this type of reasoning. We apply the theory to the task of recognizing cars observed by cameras at widely separated sites in a freeway network, with new heuristics to handle the inevitable complexity of matching large numbers of objects and with online learning of appearance probability models. Despite extremely noisy observations, we are able to achieve high levels of performance.