Analyzing video sequences of multiple humans : tracking, posture estimation, and behavior recognition
| 000 | 00923camuu2200265 a 4500 | |
| 001 | 000001080674 | |
| 005 | 20021023110639 | |
| 008 | 020213s2002 maua b 001 0 eng | |
| 020 | ▼a 1402070217 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 244002 | |
| 042 | ▼a pcc | |
| 049 | 0 | ▼l 151130020 |
| 050 | 0 0 | ▼a TA1634 ▼b .O367 2002 |
| 082 | 0 0 | ▼a 006.3/7 ▼2 21 |
| 090 | ▼a 006.37 ▼b O38a | |
| 100 | 1 | ▼a Ohya, Jun. |
| 245 | 1 0 | ▼a Analyzing video sequences of multiple humans : ▼b tracking, posture estimation, and behavior recognition / ▼c Jun Ohya, Akira Utsumi, Junji Yamato. |
| 260 | ▼a Boston : ▼b Kluwer Academic Publishers, ▼c c2002. | |
| 300 | ▼a xxii, 138 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Kluwer international series in video computing |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Computer vision. |
| 700 | 1 | ▼a Utsumi, Akira. |
| 700 | 1 | ▼a Yamato, Junji. |
Holdings Information
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|---|---|---|---|---|---|---|---|
| No. 1 | Location Sejong Academic Information Center/Science & Technology/ | Call Number 006.37 O38a | Accession No. 151130020 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
List of Figures. List of Tables. Preface. Contributing Authors. 1: Introduction; J. Ohya. 2: Tracking multiple persons from multiple camera images; A. Utsumi. 2.1. Overview. 2.2. Preparation. 2.3. Features of Multiple camera based tracking systems. 2.4. Algorithms for multiple-camera human tracking system. 2.5. Implementation. 2.6. Experiments. 2.7. Discussion and Conclusions 3: Posture estimation; J. Ohya. 3.1. Introduction. 3.2. A heuristic for estimating postures in 2D. 3.3. A heuristic method for estimating postures in 3D. 3.4. A non-heuristic method for estimating postures in 3D. 3.5. Applications to virtual environments. 3.6. Discussions and conclusions. 4: Recognizing human behavior using Hidden Markov Models; J. Yamato. 4.1. Background and overview. 4.2. Hidden Markov models. 4.3. Applying HMM to time-sequential images. 4.4. Experiments. 4.5. Category-separated vector quantization. 4.6. Applying image database search. 4.7. Discussions and conclusion. 5: Conclusion and Future Work; J. Ohya. Index.
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