Title :
Camera motion estimation using circulant compressive sensing matrices
Author :
Narayanan, Shrikanth ; Makur, Anuran
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
In this paper, we exploit the relationship between the translational image motion and the Compressive Sensing (CS) measurements in order to perform the camera motion estimation in the compressed domain. Various CS measurement matrices have been investigated, and most of them are random Gaussian/Bernoulli matrices. Data acquisition using such matrices becomes computationally expensive for real time applications. Data acquisition using circulant CS matrices can be efficiently implemented in hardware using shift registers. We propose to use a circulant CS matrix on image frames to obtain the CS measurements and then to perform motion estimation in the measurement domain. Experimental results show that our method guarantees high motion estimation accuracy with few measurements. Our proposed method finds its application in video shot segmentation and video tracking where fast camera motion estimation is needed.
Keywords :
Gaussian processes; cameras; compressed sensing; data acquisition; data compression; image coding; image segmentation; matrix algebra; motion estimation; object tracking; random processes; CS measurement; camera motion estimation; circulant CS matrix; circulant compressive sensing matrix; compressive sensing measurement; data acquisition; random Gaussian-Bernoulli matrices; shift register; translational image motion; video shot segmentation; video tracking; Cameras; Compressed sensing; Image coding; Image reconstruction; Motion estimation; Motion measurement; Sensors; Camera motion; Circulant CS Matrices; Compressive Sensing measurements; Image motion;
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0433-4
DOI :
10.1109/ICICS.2013.6782832