Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
Bi-Directional Tracking Using Trajectory Segment Analysis
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Kernel-based Template Alignment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Interactive Feature Tracking using K-D Trees and Dynamic Programming
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Probabilistic tracking in joint feature-spatial spaces
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Inverse composition for multi-kernel tracking
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Robust online appearance models for visual tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Web-based nonverbal communication interface using 3D agents with natural gestures
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
3D reconstruction of human motion and skeleton from uncalibrated monocular video
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
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We present a continuous optimization framework for interactive tracking of 2D generic objects in a single video stream. The user begins with specifying the locations of a target object in a small set of keyframes; the system then automatically tracks locations of the objects by combining user constraints with visual measurements across the entire sequence. We formulate the problem in a spacetime optimization framework that optimizes over the whole sequence simultaneously. The resulting solution is consistent with visual measurements across the entire sequence while satisfying user constraints. We also introduce prior terms to reduce tracking ambiguity. We demonstrate the power of our algorithm on tracking objects with significant occlusions, scale and orientation changes, illumination changes, sudden movement of objects, and also simultaneous tracking of multiple objects. We compare the performance of our algorithm with alternative methods.