Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing 3-D objects using 2-D images
Recognizing 3-D objects using 2-D images
Digital video processing
Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theory of Reconstruction from Image Motion
Theory of Reconstruction from Image Motion
Obstacle Detection Based on Qualitative and Quantitative 3D Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional reconstruction under varying constraints on camera geometry for robotic navigation scenarios
Fast scene change detection using direct feature extraction fromMPEG compressed videos
IEEE Transactions on Multimedia
Global motion estimation from coarsely sampled motion vector field and the applications
IEEE Transactions on Circuits and Systems for Video Technology
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This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, we mean that the processing speed is close to or even faster than real-time in "normal" platforms (we do not assume using special hardware or any parallel machines) while still maintaining a good quality segmentation. Theoretical and experimental analyses demonstrate and validate the holistic, in-compression approach to solving for video segmentation problem for independent motion detection.