Object Detection and Tracking -- A Survey
| Autor: | K. Hari Priya, N. Neelima, K. Rasool Reddy |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Computer science Motion blur ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Tracking system Tracking (particle physics) Object detection Finger tracking Object-class detection Computer Science::Computer Vision and Pattern Recognition Video tracking Viola–Jones object detection framework Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | 2015 International Conference on Computational Intelligence and Communication Networks (CICN). |
| DOI: | 10.1109/cicn.2015.317 |
| Popis: | Object tracking is one of the major fundamental challenging problems in computer vision applications due to difficulties in tracking of objects can arises due to intrinsic and extrinsic factors like deformation, camera motion, motion blur and occlusion. This paper proposes a literature review on several state -- of -- the-art object detection and tracking algorithms in order to reduce the tracking drift. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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