Abstract
In this paper, we propose an algorithm to extract and track complex contours with occlusions such as the contours of the human body. In this algorithm, complex contours are assumed to be composed of contour segments which have smooth variation of the intensity gradient normal to the contour direction. Moreover, the contour segments are modeled using B splines, and contours in the image are extracted and tracked by the contour segments. In the first frame, contour segments are extracted using only the edge pixels. In the tracking of contour segments of the next frame, we use Snakes. For frames after the second frame, the contour segments are redetected using the tracking result and edge pixels. After that, extraction and tracking are repeatedly applied to each frame. Moreover, a method of classification of contour segments which is based on movement is described and the possibility of human action description is investigated. Finally, experimental and classification results obtained by means of this algorithm on synthesized and real images are given.
| Original language | English |
|---|---|
| Pages (from-to) | 40-49 |
| Number of pages | 10 |
| Journal | Systems and Computers in Japan |
| Volume | 30 |
| Issue number | 8 |
| Publication status | Published - 1999 Jul |
| Externally published | Yes |
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Keywords
- Active contour model (Snakes)
- Akaike's information criterion
- Automatic system
- B spline
- Contour extraction and tracking
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Hardware and Architecture
- Information Systems
- Theoretical Computer Science
Cite this
Automatic Extraction and Tracking of Complex Contours. / Hata, Koichi; Ohya, Jun; Kishino, Fumio; Nakatsu, Ryouhei.
In: Systems and Computers in Japan, Vol. 30, No. 8, 07.1999, p. 40-49.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automatic Extraction and Tracking of Complex Contours
AU - Hata, Koichi
AU - Ohya, Jun
AU - Kishino, Fumio
AU - Nakatsu, Ryouhei
PY - 1999/7
Y1 - 1999/7
N2 - In this paper, we propose an algorithm to extract and track complex contours with occlusions such as the contours of the human body. In this algorithm, complex contours are assumed to be composed of contour segments which have smooth variation of the intensity gradient normal to the contour direction. Moreover, the contour segments are modeled using B splines, and contours in the image are extracted and tracked by the contour segments. In the first frame, contour segments are extracted using only the edge pixels. In the tracking of contour segments of the next frame, we use Snakes. For frames after the second frame, the contour segments are redetected using the tracking result and edge pixels. After that, extraction and tracking are repeatedly applied to each frame. Moreover, a method of classification of contour segments which is based on movement is described and the possibility of human action description is investigated. Finally, experimental and classification results obtained by means of this algorithm on synthesized and real images are given.
AB - In this paper, we propose an algorithm to extract and track complex contours with occlusions such as the contours of the human body. In this algorithm, complex contours are assumed to be composed of contour segments which have smooth variation of the intensity gradient normal to the contour direction. Moreover, the contour segments are modeled using B splines, and contours in the image are extracted and tracked by the contour segments. In the first frame, contour segments are extracted using only the edge pixels. In the tracking of contour segments of the next frame, we use Snakes. For frames after the second frame, the contour segments are redetected using the tracking result and edge pixels. After that, extraction and tracking are repeatedly applied to each frame. Moreover, a method of classification of contour segments which is based on movement is described and the possibility of human action description is investigated. Finally, experimental and classification results obtained by means of this algorithm on synthesized and real images are given.
KW - Active contour model (Snakes)
KW - Akaike's information criterion
KW - Automatic system
KW - B spline
KW - Contour extraction and tracking
UR - http://www.scopus.com/inward/record.url?scp=0042127017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0042127017&partnerID=8YFLogxK
M3 - Article
VL - 30
SP - 40
EP - 49
JO - Systems and Computers in Japan
JF - Systems and Computers in Japan
SN - 0882-1666
IS - 8
ER -