Abstract
This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 |
| Pages | 70-75 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2011 Aug 24 |
| Event | 2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China Duration: 2011 Jun 8 → 2011 Jun 10 |
Publication series
| Name | Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 |
|---|
Other
| Other | 2011 International Conference on System Science and Engineering, ICSSE 2011 |
|---|---|
| Country | China |
| City | Macao |
| Period | 11/6/8 → 11/6/10 |
Fingerprint
Keywords
- computer vision
- historical trajectories
- motion detection
- object trajectory
- optical flow
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Real-time recognition of moving direction of a target object based on historical trajectories. / Hsu, Chen-Chien James; Liu, Wei Chen; Hong, Chin-Ming.
Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011. 2011. p. 70-75 5961876 (Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Real-time recognition of moving direction of a target object based on historical trajectories
AU - Hsu, Chen-Chien James
AU - Liu, Wei Chen
AU - Hong, Chin-Ming
PY - 2011/8/24
Y1 - 2011/8/24
N2 - This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects.
AB - This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects.
KW - computer vision
KW - historical trajectories
KW - motion detection
KW - object trajectory
KW - optical flow
UR - http://www.scopus.com/inward/record.url?scp=84860397081&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860397081&partnerID=8YFLogxK
U2 - 10.1109/ICSSE.2011.5961876
DO - 10.1109/ICSSE.2011.5961876
M3 - Conference contribution
AN - SCOPUS:84860397081
SN - 9781612844718
T3 - Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
SP - 70
EP - 75
BT - Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
ER -