Image Sequence Analysis via Partial Differential Equations
Journal of Mathematical Imaging and Vision
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
New Algorithms for Controlling Active Contours Shape and Topology
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Unfolding the Cerebral Cortex Using Level Set Methods
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Journal of Computational Physics
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
Implicit Meshes for Effective Silhouette Handling
International Journal of Computer Vision
Rule-driven object tracking in clutter and partial occlusion with model-based snakes
EURASIP Journal on Applied Signal Processing
Segregation of moving objects using elastic matching
Computer Vision and Image Understanding
Change detection using a statistical model in an optimally selected color space
Computer Vision and Image Understanding
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
Efficient cumulative matching for image registration
Image and Vision Computing
Multi-object detection and tracking by stereo vision
Pattern Recognition
An estimation theoretical approach to Ambrosio-tortorelli image segmentation
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
From moving edges to moving regions
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
TouchCut: Fast image and video segmentation using single-touch interaction
Computer Vision and Image Understanding
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This papers pr esents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two Laplacian or Gaussian distributions, and an energy minimization based approach, we reformulate the motion detection and tracking problem as a front propagation problem. The Euler-Lagrange equation of the designed energy functional is first derived and the flow minimizing the energy is then obtained. Following the work by Caselles et al [CKS95],and Malladi et al [MSV95, MSV93], the contours to be detected and tracked are modeled as geodesic active contours evolving toward the minimum of the designed energy, under the influence of internal and external image dependent forces. Using the level set formulation scheme of Osher and Sethian [OS88] complex curves can be detected and tracked and topological changes for the evolving curves are naturally managed. To reduce the computational cost required by a direct implementation of the formulation scheme of Osher and Sethian [OS88], a new approach exploiting aspects from the classical Narrow Band [AS95] and Fast Marching [Set96] methods is proposed and favorably compared to them. In order to further reduce the CPU time, a multi-scale approach has also been considered. Very promising experimental results are provided using real video sequences.