The Active Recovery of 3D Motion Trajectories and Their Use in Prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence
SCAAT: incremental tracking with incomplete information
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Segmentation of moving objects by robust motion parameter estimation over multiple frames
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Multiple-Human Tracking Using Multiple Cameras
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Continuous Multi-Views Tracking using Tensor Voting
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Improved Tracking of Multiple Humans with Trajectory Predcition and Occlusion Modeling
Improved Tracking of Multiple Humans with Trajectory Predcition and Occlusion Modeling
Automatic Tracking of Human Motion in Indoor Scenes Across Multiple Synchronized Video Streams
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Learning a discriminative classifier using shape context distances
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Continuous tracking within and across camera streams
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Surveillance camera scheduling: a virtual vision approach
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Establishing correspondence in distributed cameras by observing humans
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Sensor management: a new paradigm for automatic video surveillance
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
| Hi-index | 0.00 |
This paper presents novel approaches for continuous detection and tracking of moving objects observed by multiple, stationary or moving cameras. Stationary video streams are registered using a ground plane homography and the trajectories derived by Tensor Voting formalism are integrated across cameras by a spatio-temporal homography. Tensor Voting based tracking approach provides smooth and continuous trajectories and bounding boxes, ensuring minimum registration error. In the more general case of moving cameras, we present an approach for integrating objects trajectories across cameras by simultaneous processing of video streams. The detection of moving objects from moving camera is performed by defining an adaptive background model that uses an affine-based camera motion approximation. Relative motion between cameras is approximated by a combination of affine and perspective transform while objects' dynamics are modeled by a Kalman Filter. Shape and appearance of moving objects are also taken into account using a probabilistic framework. The maximization of the joint probability model allows tracking moving objects across the cameras. We demonstrate the performances of the proposed approaches on several video surveillance sequences.