Abstract:
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference funct...Show MoreMetadata
Abstract:
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function between successive frames, SVT maximizes the SVM classification score. To account for large motions between successive frames, we build pyramids from the support vectors and use a coarse-to-fine approach in the classification stage. We show results of using SVT for vehicle tracking in image sequences.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 26, Issue: 8, August 2004)
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- IEEE Keywords
- Index Terms
- Support Vector Machine ,
- Support Vector Machine Classifier ,
- Classification Score ,
- Successive Frames ,
- Local Maxima ,
- Image Regions ,
- Image Plane ,
- Kernel Function ,
- Error Function ,
- Motion Parameters ,
- Detection Module ,
- Video Sequences ,
- Object Position ,
- Test Pattern ,
- Current Frame ,
- Polynomial Kernel ,
- Tracking Process ,
- Sum Of Squared Differences ,
- Tangent Plane ,
- Quadratic Kernel ,
- Strong Edges ,
- Pyramid Level ,
- Viewpoint Changes ,
- Tracking Algorithm ,
- Vehicle Images ,
- Pair Of Frames ,
- Derivative Works ,
- Classification Power ,
- Set Of Equations
- Author Keywords
- MeSH Terms
- Algorithms ,
- Artificial Intelligence ,
- Computer Graphics ,
- Image Enhancement ,
- Image Interpretation, Computer-Assisted ,
- Imaging, Three-Dimensional ,
- Information Storage and Retrieval ,
- Movement ,
- Numerical Analysis, Computer-Assisted ,
- Pattern Recognition, Automated ,
- Reproducibility of Results ,
- Sensitivity and Specificity ,
- Signal Processing, Computer-Assisted ,
- Subtraction Technique ,
- Video Recording
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Support Vector Machine ,
- Support Vector Machine Classifier ,
- Classification Score ,
- Successive Frames ,
- Local Maxima ,
- Image Regions ,
- Image Plane ,
- Kernel Function ,
- Error Function ,
- Motion Parameters ,
- Detection Module ,
- Video Sequences ,
- Object Position ,
- Test Pattern ,
- Current Frame ,
- Polynomial Kernel ,
- Tracking Process ,
- Sum Of Squared Differences ,
- Tangent Plane ,
- Quadratic Kernel ,
- Strong Edges ,
- Pyramid Level ,
- Viewpoint Changes ,
- Tracking Algorithm ,
- Vehicle Images ,
- Pair Of Frames ,
- Derivative Works ,
- Classification Power ,
- Set Of Equations
- Author Keywords
- MeSH Terms
- Algorithms ,
- Artificial Intelligence ,
- Computer Graphics ,
- Image Enhancement ,
- Image Interpretation, Computer-Assisted ,
- Imaging, Three-Dimensional ,
- Information Storage and Retrieval ,
- Movement ,
- Numerical Analysis, Computer-Assisted ,
- Pattern Recognition, Automated ,
- Reproducibility of Results ,
- Sensitivity and Specificity ,
- Signal Processing, Computer-Assisted ,
- Subtraction Technique ,
- Video Recording
