Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Multi-views tracking within and across uncalibrated camera streams
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
International Journal of Computer Vision
Centralized and Distributed Multi-view Correspondence
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
A real-time model-based human motion tracking and analysis for human computer interface systems
EURASIP Journal on Applied Signal Processing
MOCUS: moving object counting using ultrasonic sensor networks
International Journal of Sensor Networks
Frame-level temporal calibration of video sequences from unsynchronized cameras
Machine Vision and Applications
Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras
Computer Vision and Image Understanding
System and software architectures of distributed smart cameras
ACM Transactions on Embedded Computing Systems (TECS)
Probability hypothesis density approach for multi-camera multi-object tracking
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Performing joint learning for passive intrusion detection in pervasive wireless environments
INFOCOM'10 Proceedings of the 29th conference on Information communications
Continuous tracking within and across camera streams
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
| Hi-index | 0.00 |
This pap er presents a comprehensive framework for tracking moving humans in an indoor environment from sequences of synchronized monocular grayscale images captured from multiple fixed cameras. The proposed framework consists of three main modules: Single View Tracking (SVT), Multiple View Transition Tracking (MVTT), and Automatic Camera Switching (ACS). Bayesian classification schemes based on motion analysis of human features are used to track (spatially and temporally) a subject image of interest between consecutive frames. The automatic camera switching module predicts the position of the subject along a spatial-temporal domain, and then selects the camera which provides the best view and requires the least switching to continue tracking. Limited degrees of occlusion are tolerated within the system. Tracking is based up on the images of upper human bodies captured from various viewing angles, and non-human moving objects are excluded using Principal Component Analysis (PCA). Experimental results are presented to evaluate the performance of the tracking system.