scholarly journals A General Inlier Estimation for Moving Camera Motion Segmentation

2015 ◽  
Vol 7 (0) ◽  
pp. 163-174 ◽  
Author(s):  
Xuefeng Liang ◽  
Cuicui Zhang ◽  
Takashi Matsuyama
Keyword(s):  
Motion Segmentation ◽  
Camera Motion ◽  
Moving Camera

scholarly journals Motion Segmentation by New Three-View Constraint from a Moving Camera

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Fuyuan Xu ◽  
Guohua Gu ◽  
Kan Ren ◽  
Weixian Qian
Keyword(s):  
Motion Segmentation ◽  
Image Sequence ◽  
New Method ◽  
Video Sequences ◽  
Reference Plane ◽  
Projective Structure ◽  
Multiple Views ◽  
Epipolar Constraint ◽  
Surface Degradation ◽  
Moving Camera

We propose a new method for the motion segmentation using a moving camera. The proposed method classifies each image pixel in the image sequence as the background or the motion regions by applying a novel three-view constraint called the “parallax-based multiplanar constraint.” This new three-view constraint, being the main contribution of this paper, is derived from the relative projective structure of two points in three different views and implemented within the “Plane + Parallax” framework. The parallax-based multiplanar constraint overcomes the problem of the previous geometry constraint and does not require the reference plane to be constant across multiple views. Unlike the epipolar constraint, the parallax-based multiplanar constraint modifies the surface degradation to the line degradation to detect the motion objects followed by a moving camera in the same direction. We evaluate the proposed method with several video sequences to demonstrate the effectiveness and robustness of the parallax-based multiplanar constraint.

REAL-TIME OBJECT TRACKING IN MOVING CAMERA

2006 ◽  
Vol 03 (01) ◽  
pp. 61-67
Author(s):  
BYOUNG-JU YUN ◽  
JOONG-HOON CHO ◽  
JAE-WOO JEONG
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Region Of Interest ◽  
Block Matching ◽  
Camera Motion ◽  
Moving Camera ◽  
Block Matching Algorithm ◽  
Difference Image ◽  
Human Figure ◽  
The Difference

Moving object tracking plays an important role in applications of object based video conference, video surveillance and so on. The computational complexity is very important in real-time object tracking. We assumed that the background scene is obtained before an object appears in the image and a camera moves after the object is detected. The proposed method can segment an object by using the difference image if there is no camera motion. After camera motion, it can track the object by using the backward BMA (block matching algorithm) with the HFM (human figure model). For real-time tracking, we used the ROI (region of interest) which is the tightest rectangle of the object. The simulation results show that the proposed method efficiently recognizes and tracks the moving camera as well as the fixed camera.

MOVING OBJECT DETECTION FROM VIDEO CAPTURED BY MOVING SURVEILLANCE CAMERA

2021 ◽  
pp. 139-145
Author(s):  
Minh
Keyword(s):  
Object Detection ◽  
Template Matching ◽  
Moving Objects ◽  
Moving Object Detection ◽  
Object Motion ◽  
Moving Object ◽  
Camera Motion ◽  
Moving Camera ◽  
Image Differencing ◽  
Surveillance Camera

This paper presents an effective method for the detection of multiple moving objects from a video sequence captured by a moving surveillance camera. Moving object detection from a moving camera is difficult since camera motion and object motion are mixed. In the proposed method, we created a panoramic picture from a moving camera. After that, with each frame captured from this camera, we used the template matching method to found its place in the panoramic picture. Finally, using the image differencing method, we found out moving objects. Experimental results have shown that the proposed method had good performance with more than 80% of true detection rate on average.

scholarly journals Dependent Motion Segmentation in Moving Camera Videos: A Survey

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 55963-55975 ◽  
Author(s):  
Cuicui Zhang ◽  
Zhilei Liu ◽  
Chongke Bi ◽  
Shuai Chang
Keyword(s):  
Motion Segmentation ◽  
Moving Camera
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