A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
International Journal of Computer Vision
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
An integrated scheme for object-based video abstraction
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
A Tensor Approach for Precise Computation of Dense Displacement Vector Fields
Mustererkennung 1997, 19. DAGM-Symposium
A Noise Robust Method for Segmentation of Moving Objects in Video Sequences
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A video surveillance system under varying environmental conditions
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Fast perceptual region tracking with coding-depth sensitive access for stream transcoding
Journal of Visual Communication and Image Representation
Bio-Inspired Functional Asymmetry Camera System
Neural Information Processing
Review article: Object-based video coding with dynamic quality control
Image and Vision Computing
Video motion estimation with temporal coherence
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
STV-based video feature processing for action recognition
Signal Processing
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The segmentation of objects in video sequences constitutes a prerequisite for numerous applications ranging from computer vision tasks to second-generation video coding.We propose an approach for segmenting video objects based on motion cues. To estimate motion we employ the 3D structure tensor, an operator that provides reliable results by integrating information from a number of consecutive video frames. We present a new hierarchical algorithm, embedding the structure tensor into a multiresolution framework to allow the estimation of large velocities.The motion estimates are included as an external force into a geodesic active contour model, thus stopping the evolving curve at the moving object's boundary. A level set-based implementation allows the simultaneous segmentation of several objects.As an application based on our object segmentation approach we provide a video object classification system. Curvature features of the object contour are matched by means of a curvature scale space technique to a database containing preprocessed views of prototypical objects.We provide encouraging experimental results calculated on synthetic and real-world video sequences to demonstrate the performance of our algorithms.