Intrinsic Image Based Moving Object Cast Shadow Removal in Image Sequences

2011 ◽  
Author(s):  
Pankaj Kumar
Keyword(s):  
Image Sequences ◽  
Moving Object ◽  
Shadow Removal ◽  
Cast Shadow

scholarly journals General Moving Object Localization from a Single Flying Camera

2020 ◽  
Vol 10 (19) ◽  
pp. 6945
Author(s):  
Kin-Choong Yow ◽  
Insu Kim
Keyword(s):  
Prior Information ◽  
State Of The Art ◽  
Image Sequences ◽  
Specific Pattern ◽  
Visual Surveillance ◽  
Moving Object ◽  
Object Localization ◽  
Stationary Object ◽  
Open Spaces ◽  
Moving Camera

Object localization is an important task in the visual surveillance of scenes, and it has important applications in locating personnel and/or equipment in large open spaces such as a farm or a mine. Traditionally, object localization can be performed using the technique of stereo vision: using two fixed cameras for a moving object, or using a single moving camera for a stationary object. This research addresses the problem of determining the location of a moving object using only a single moving camera, and it does not make use of any prior information on the type of object nor the size of the object. Our technique makes use of a single camera mounted on a quadrotor drone, which flies in a specific pattern relative to the object in order to remove the depth ambiguity associated with their relative motion. In our previous work, we showed that with three images, we can recover the location of an object moving parallel to the direction of motion of the camera. In this research, we find that with four images, we can recover the location of an object moving linearly in an arbitrary direction. We evaluated our algorithm on over 70 image sequences of objects moving in various directions, and the results showed a much smaller depth error rate (less than 8.0% typically) than other state-of-the-art algorithms.

Framework for feature selection for cast shadow removal

2007 ◽  
Author(s):  
Guilin Zhang ◽  
Ying Chu ◽  
Song Tian ◽  
Yufei Zha ◽  
Gengming Zhu
Keyword(s):  
Feature Selection ◽  
Shadow Removal ◽  
Cast Shadow ◽  
Selection For

scholarly journals Filtering image sequences from a moving object and the edge detection problem

2006 ◽  
Vol 51 (3-4) ◽  
pp. 559-578 ◽  
Author(s):  
C. Bruni ◽  
D. Iacoviello ◽  
G. Koch ◽  
M. Lucchetti
Keyword(s):  
Edge Detection ◽  
Image Sequences ◽  
Moving Object ◽  
Detection Problem

Image Texture-Based Vehicle Cast Shadow Elimination Approach

2014 ◽  
Vol 644-650 ◽  
pp. 1066-1069
Author(s):  
Dong Mei Zhou ◽  
Ming Xing Zhang ◽  
Yong Xia Dai
Keyword(s):  
Video Sequence ◽  
New Method ◽  
Image Texture ◽  
Transport Systems ◽  
Shadow Removal ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Shadow Elimination ◽  
Cast Shadow ◽  
Vehicle Information

Based on the research and analysis of video sequence of the Intelligent Transport Systems,this paper especially had a in-depth discussion about the critical step of video detection—shadow removing, analyzing the causes and characteristics of the shadow,describing the current shadow removal algorithms,and proposed a new method of image texture-based vehicle cast shadow elimination approach based on the existing algorithms.Experimental results have proved that this method can remove the vehicle shadow well and still hold very complete target vehicle information and laid the foundation for extracting vehicle target.

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