Object Detection in Images by Components
In this paper we present a component based person detection system that is capable of detecting frontal, rear and near side views of people, and partially occluded persons in cluttered scenes. The framework that is described here for people is easily applied to other objects as well. The motiv...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/7293 |
| _version_ | 1826191771694006272 |
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| author | Mohan, Anuj |
| author_facet | Mohan, Anuj |
| author_sort | Mohan, Anuj |
| collection | MIT |
| description | In this paper we present a component based person detection system that is capable of detecting frontal, rear and near side views of people, and partially occluded persons in cluttered scenes. The framework that is described here for people is easily applied to other objects as well. The motivation for developing a component based approach is two fold: first, to enhance the performance of person detection systems on frontal and rear views of people and second, to develop a framework that directly addresses the problem of detecting people who are partially occluded or whose body parts blend in with the background. The data classification is handled by several support vector machine classifiers arranged in two layers. This architecture is known as Adaptive Combination of Classifiers (ACC). The system performs very well and is capable of detecting people even when all components of a person are not found. The performance of the system is significantly better than a full body person detector designed along similar lines. This suggests that the improved performance is due to the components based approach and the ACC data classification structure. |
| first_indexed | 2024-09-23T09:01:02Z |
| id | mit-1721.1/7293 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:01:02Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/72932019-04-10T20:13:58Z Object Detection in Images by Components Mohan, Anuj AI MIT Artificial Intelligence Object Detection sComputer Vision Pattern Recognition Detection bysComponents Machine Learning People Detection sWavelets Detection of Partially Occluded Objects sViewpoint Invariant Detection Example Based Learnin In this paper we present a component based person detection system that is capable of detecting frontal, rear and near side views of people, and partially occluded persons in cluttered scenes. The framework that is described here for people is easily applied to other objects as well. The motivation for developing a component based approach is two fold: first, to enhance the performance of person detection systems on frontal and rear views of people and second, to develop a framework that directly addresses the problem of detecting people who are partially occluded or whose body parts blend in with the background. The data classification is handled by several support vector machine classifiers arranged in two layers. This architecture is known as Adaptive Combination of Classifiers (ACC). The system performs very well and is capable of detecting people even when all components of a person are not found. The performance of the system is significantly better than a full body person detector designed along similar lines. This suggests that the improved performance is due to the components based approach and the ACC data classification structure. 2004-10-22T20:49:09Z 2004-10-22T20:49:09Z 1999-08-11 AIM-1664 CBCL-178 http://hdl.handle.net/1721.1/7293 en_US AIM-1664 CBCL-178 22 p. 8166715 bytes 2812392 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | AI MIT Artificial Intelligence Object Detection sComputer Vision Pattern Recognition Detection bysComponents Machine Learning People Detection sWavelets Detection of Partially Occluded Objects sViewpoint Invariant Detection Example Based Learnin Mohan, Anuj Object Detection in Images by Components |
| title | Object Detection in Images by Components |
| title_full | Object Detection in Images by Components |
| title_fullStr | Object Detection in Images by Components |
| title_full_unstemmed | Object Detection in Images by Components |
| title_short | Object Detection in Images by Components |
| title_sort | object detection in images by components |
| topic | AI MIT Artificial Intelligence Object Detection sComputer Vision Pattern Recognition Detection bysComponents Machine Learning People Detection sWavelets Detection of Partially Occluded Objects sViewpoint Invariant Detection Example Based Learnin |
| url | http://hdl.handle.net/1721.1/7293 |
| work_keys_str_mv | AT mohananuj objectdetectioninimagesbycomponents |