Research of On-Road Obstacle Detection and Risk Degree Demonstration by Analyzing Difference between Model Flow Field and Observed Optical Flow Field

2009 ◽  
Vol 129 (5) ◽  
pp. 792-799
Author(s):  
Takashi Yamanaka ◽  
Masayuki Kashima ◽  
Kiminori Sato ◽  
Mutsumi Watanabe ◽  
Jun Ogata
Keyword(s):  
Flow Field ◽  
Optical Flow ◽  
Obstacle Detection ◽  
Optical Flow Field ◽  
Model Flow ◽  
Risk Degree

Dynamic estimation of optical flow field using objective functions

1989 ◽  
Vol 7 (4) ◽  
pp. 259-267 ◽  
Author(s):  
Zhao Wei-Zhao ◽  
Qi Fei-Hu ◽  
Young Tzay Y
Keyword(s):  
Flow Field ◽  
Optical Flow ◽  
Objective Functions ◽  
Optical Flow Field ◽  
Dynamic Estimation

The Difference Effect of Wavelet Transforms and Gaussian Filter in Multi-Resolution Optical Flow

2013 ◽  
Vol 475-476 ◽  
pp. 273-277 ◽  
Author(s):  
Zhao Hui Han ◽  
Yan Feng Wang
Keyword(s):  
Wavelet Transform ◽  
Flow Field ◽  
Optical Flow ◽  
Wavelet Transforms ◽  
Flow Distribution ◽  
Field Calculation ◽  
Gaussian Filter ◽  
Optical Flow Method ◽  
Optical Flow Field ◽  
The Difference

Multi-resolution optical flow is the main trends of the current optical flow calculation. Wavelet transform and Gaussian filter are widely used to build multi-resolution structure of the image. In this paper, LK optical flow method mixed with pyramid was used to study the optical flow field. The different effects of wavelet transform and Gaussian filter in the flow distribution was also discussed. Experimental results show that the selected image decomposition method has a significant role in optical flow field calculation.

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