Tracking of Moving Objects by Using a Low Resolution Image

Abstract

Automatic detection and tracking of moving object is very important task for security system, monitoring activity and surveillance application. It is, however, still under the developmental stage and needs to be robust performance when applied in an unconstrained environment. Many approaches have been developed to detect motion, namely, optical flow, frame difference, background subtraction and skin color extraction. These methods are sensitive to illumination changes and small movement in the background such as moving leaves of trees that will cause inaccurate detection. Some techniques have been applied to reduce this kind of noise. In this paper we propose a new method by using a low resolution image to reduce that kind of noise so we can get an accurate tracking object.

Low resolution method using adaptive LMS scheme for moving objects detection and tracking

“…It preserves more image quality of the low resolution image than that of the low resolution method [4] to reduce the spatial resolution of the image by replacing the general mask operation, such as average filter, down sampling, and DWT, with the LMS-based mask.…”

“…Sugandi et al [4] proposed a simple method by using the low resolution concept to cope with the noise such as fake motion or small movement in the background. They generate the low resolution image by replacing the pixel value of an original image with the average value of its four neighbor pixels and itself.…”

“…However, this approach is unable to 978-1-4244-7371-7/10/$26.00 ©201O IEEE reduce the post-processing computation. Sugandi et al [4] proposed a method for detecting and tracking objects by using a low resolution image with the 2x2 average filter. They mentioned that the low resolution image is insensitive to illumination changes and can reduce the small movement like moving leaves of trees in the background.…”

Video Surveillance System for Security Applications

“…Simple image subtraction will detect small movement in the background such as moving leaves of trees as moving object. Budi Sugandi et al [2] proposed a method to reduce this kind of noise by using a low resolution image. The use of low resolution images is it eliminates the undesirable effect of the scattering noise and the small camera movement.…”

“…Simple background subtraction approach is employed in [1,2,3] for the detection of motion. These provide incorrect motion information due to its sensitivity to illumination changes.…”