Human motion detection and tracking in videos
Human motion detection and tracking are very important research areas in vision based video processing. This thesis presents our efforts to understand and improve human motion detection and tracking techniques. We examined the existing motion detection approaches and proposed our own methods. The fi...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/2642 |
| _version_ | 1826122846957469696 |
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| author | Guo, Jing |
| author2 | Chng Eng Siong |
| author_facet | Chng Eng Siong Guo, Jing |
| author_sort | Guo, Jing |
| collection | NTU |
| description | Human motion detection and tracking are very important research areas in vision based video processing. This thesis presents our efforts to understand and improve human motion detection and tracking techniques. We examined the existing motion detection approaches and proposed our own methods. The first is entropy based motion detection, where the entropy of accumulated difference image is used to detect motion regions. Another simple yet effective motion detection method calculates the optimum threshold for every difference image. Single camera tracking follows motion detection and a mean shift tracking algorithm is firstly implemented. Its advantages and limitations are analyzed and possible improvements are given. We then proposed a single camera tracking method by corresponding detected motion regions. Experimental results demonstrate the effectiveness of our algorithm. A motion detection method based affine tracking method is also presented. Finally, some multi-camera tracking problems are addressed. A homography based method is used for cross camera correspondence. Given multiple cameras, more information is available for the same person. Some preliminary results on selecting the front view of a walking person is shown. Besides, a literature survey on the related areas is also included in the thesis. |
| first_indexed | 2024-10-01T05:54:57Z |
| format | Thesis |
| id | ntu-10356/2642 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:54:57Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/26422023-03-04T00:43:56Z Human motion detection and tracking in videos Guo, Jing Chng Eng Siong Deepu Rajan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Human motion detection and tracking are very important research areas in vision based video processing. This thesis presents our efforts to understand and improve human motion detection and tracking techniques. We examined the existing motion detection approaches and proposed our own methods. The first is entropy based motion detection, where the entropy of accumulated difference image is used to detect motion regions. Another simple yet effective motion detection method calculates the optimum threshold for every difference image. Single camera tracking follows motion detection and a mean shift tracking algorithm is firstly implemented. Its advantages and limitations are analyzed and possible improvements are given. We then proposed a single camera tracking method by corresponding detected motion regions. Experimental results demonstrate the effectiveness of our algorithm. A motion detection method based affine tracking method is also presented. Finally, some multi-camera tracking problems are addressed. A homography based method is used for cross camera correspondence. Given multiple cameras, more information is available for the same person. Some preliminary results on selecting the front view of a walking person is shown. Besides, a literature survey on the related areas is also included in the thesis. MASTER OF ENGINEERING (SCE) 2008-09-17T09:06:54Z 2008-09-17T09:06:54Z 2007 2007 Thesis Guo, J. (2007).Human motion detection and tracking in videos. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2642 10.32657/10356/2642 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Guo, Jing Human motion detection and tracking in videos |
| title | Human motion detection and tracking in videos |
| title_full | Human motion detection and tracking in videos |
| title_fullStr | Human motion detection and tracking in videos |
| title_full_unstemmed | Human motion detection and tracking in videos |
| title_short | Human motion detection and tracking in videos |
| title_sort | human motion detection and tracking in videos |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | https://hdl.handle.net/10356/2642 |
| work_keys_str_mv | AT guojing humanmotiondetectionandtrackinginvideos |