An adaptive block-based matching algorithm for crowd motion sequences
For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. However, algorithms based on optical flow and background subtraction have numerous limitations su...
Saved in:
| Main Authors: | Kajo, I., Kamel, N., Malik, A.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21257 / |
| Published: |
Springer New York LLC
2018
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010739044&doi=10.1007%2fs11042-016-4327-9&partnerID=40&md5=066ea63593a81f4569c26f101fa9eb27 http://eprints.utp.edu.my/21257/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An adaptive block-based matching algorithm for crowd motion sequences
by: Kajo, I., et al.
Published: (2018) -
A comparison study on different crowd motion estimation algorithms using matlab
by: Kajo, I., et al.
Published: (2014) -
An evaluation of optical flow algorithms for crowd analytics in surveillance system
by: Kajo, I., et al.
Published: (2017) -
An adaptive motion estimation algorithm for irregular motion of objects
by: Kajo, I., et al.
Published: (2014) -
ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
by: KAJO, IBRAHIM
Published: (2014)