Distributed calibration and tracking with low-power image sensors
Proceedings of the 2005 conference on Diversity in computing
Sensing capacity for discrete sensor network applications
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Object tracking in the presence of occlusions via a camera network
Proceedings of the 6th international conference on Information processing in sensor networks
Adaptive probabilistic tracking embedded in smart cameras for distributed surveillance in a 3D model
EURASIP Journal on Embedded Systems
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
Image and Vision Computing
An integrated visualization of a smart camera based distributed surveillance system
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
MOCUS: moving object counting using ultrasonic sensor networks
International Journal of Sensor Networks
Machine Vision and Applications
Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Target Counting under Minimal Sensing: Complexity and Approximations
Algorithmic Aspects of Wireless Sensor Networks
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Energy efficient intrusion detection in camera sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
An ease-of-use stereo-based particle filter for tracking under occlusion
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Counting Objects with a Combination of Horizontal and Overhead Sensors
International Journal of Robotics Research
Performing joint learning for passive intrusion detection in pervasive wireless environments
INFOCOM'10 Proceedings of the 29th conference on Information communications
Traffic modeling and prediction using camera sensor networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Multi-view Occlusion Reasoning for Probabilistic Silhouette-Based Dynamic Scene Reconstruction
International Journal of Computer Vision
Crowd detection with a multiview sampler
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
Multi-person localization and track assignment in overlapping camera views
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Bi-directional passenger counting on crowded situation based on sequence color images
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
Coverage estimation for crowded targets in visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
Traffic modeling and prediction using sensor networks: Who will go where and when?
ACM Transactions on Sensor Networks (TOSN)
Object tracking in the presence of occlusions using multiple cameras: A sensor network approach
ACM Transactions on Sensor Networks (TOSN)
Segmentation of Pedestrians with Confidence Level Computation
Journal of Signal Processing Systems
Collaborative localization in visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Estimating the number of people in a crowded environment is acentral task in civilian surveillance. Most vision-based countingtechniques depend on detecting individuals in order to count, anunrealistic proposition in crowded settings. We propose analternative approach that directly estimates the number of people.In our system, groups of image sensors segment foreground objectsfrom the background, aggregate the resulting silhouettes over anetwork, and compute a planar projection of the scene's visualhull. We introduce a geometric algorithm that calculates bounds onthe number of persons in each region of the projection, afterphantom regions have been eliminated. The computationalrequirements scale well with the number of sensors and the numberof people, and only limited amounts of data are transmitted overthe network. Because of these properties, our system runs inreal-time and can be deployed as an untethered wireless sensornetwork. We describe the major components of our system, and reportpreliminary experiments with our first prototype implementation.