Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
© 2016 IEEE. Automatic tracking vehicle in urban traffic video surveillance is a challenging problem in computer vision. Although many issues have been solved, some are still unsolved, such as video surveillance problem of complex traffic intersection in congested condition. In this paper, we develo...
Saved in:
Main Authors: | Prommool P., Auephanwiriyakul S., Theera-Umpon N. |
---|---|
Format: | Conference Proceeding |
Published: |
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018996613&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40575 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
by: Pakpoom Prommool, et al.
Published: (2018) -
Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
by: Pakpoom Prommool, et al.
Published: (2018) -
Fractal dimension estimation using modified differential box-counting and its application to MSTAR target classification
by: Theera-Umpon N.
Published: (2014) -
Microcalcification detection in mammograms using interval type-2 fuzzy logic system with automatic membership function generation
by: Chumklin S., et al.
Published: (2014) -
Image-based silkworm egg classification and counting using counting neural network
by: Supachaya Prathan, et al.
Published: (2019)