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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Price, K. |
| Copyright Year | 1990 |
| Description | Author affiliation: Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA (Price, K.) |
| Abstract | An overview is given of the important aspects of feature-based motion analysis, especially with regard to more than two frames. These topics include some history of feature-based techniques, reasons to use feature-based techniques and longer sequences, applications to real motion sequences, and some directions for this kind of research. It is pointed out that feature-based motion analysis involves work on several subproblems such as feature extraction, feature matching, motion estimation, and the use of the motion estimates. The final use of the motion analysis can be for target tracking 3D reconstruction and improved matching results. Real-world motion analysis programs must assume that the computed feature matches are only good enough for motion estimation, and not perfect. Feature-based systems offer many ways to achieve good performance with real-world data. |
| Starting Page | 114 |
| Ending Page | 118 |
| File Size | 482013 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818620625 |
| DOI | 10.1109/ICPR.1990.118075 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-06-16 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion analysis Image motion analysis Optical sensors Optical noise Layout Intelligent robots History Information analysis Humans Target tracking |
| Content Type | Text |
| Resource Type | Article |
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