Independent Motion Detection in 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Mean-Shift Tracking via a New Similarity Measure
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Accurate Motion Layer Segmentation and Matting
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Motion Layer Extraction in the Presence of Occlusion Using Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Fast Multiple Object Tracking via a Hierarchical Particle Filter
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
ACM Computing Surveys (CSUR)
Performance evaluation of object detection and tracking in video
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Geometric constraints for human detection in aerial imagery
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
A scheme for the detection and tracking of people tuned for aerial image sequences
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Shadow Casting Out Of Plane (SCOOP) Candidates for Human and Vehicle Detection in Aerial Imagery
International Journal of Computer Vision
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This paper presents two tracking approaches from Sarnoff Corporation to detect moving vehicles and person in the videos taken from aerial platform or plane. In the first approach, we combine layer segmentation approach with background stabilization and post track refinement to reliably detect small moving objects at the relatively low processing speed. Our second approach employ a fast tracking algorithm that has been optimized for real-time application. To classify vehicle and person from the detected objects, a HOG (Hierarchy Of Gradient) based vehicle v.s. person classifier is designed and integrated with the tracking post-processing. Finally, we report the results of our algorithms on a large scale data set collected from VIVID program and the scores evaluated by NIST CLEAR program.