This study uses Blob Analysis technique to optimize Gaussian Mixture Model method performance in detecting and counting cars and motorcycles under heavy traffic conditions. It is profound that by optimizing the minimum and maximum blob area in order to obtain proper blob size from a video image’s region of interest will also improve the accuracy of system. The result shows that appropriate para...

A perspective view of a slanted textured surface shows systematic changes in the density, area, and aspect-ratio of texture elements. These apparent changes in texture element properties can be analyzed to recover information about the physical layout of the scene. However, in practice it is difficult to identify texture elements, especially in images where the texture elements are partially oc...

The task of detecting and classifying human motion is an important preliminary tool for many high-level applications. However, many approaches suffer from the lack of robust classification and proper motion cues. This paper presents a novel human motion detection algorithm that uses a fuzzy rule-base classification scheme based on moving blob regions. This approach first obtains a motion image ...

The segmentation of linear structures in a gray-scale image is widely used in a variety of image analysis and visualization tasks. In case of biomedical image analysis of volumetric data (such as CT or MRI scans), it is very common that a linear structure (blood vessel) is attached to a sheet-shaped (planar) and/or blob-shaped (ellipsoid) region (large tissue or fluid mass such as cistern basin...

Recognition and analysis of Human actions is an important task in the area of computer vision. There are many applications of this research which include surveillance systems, patient monitoring systems, human performance analysis, contentbased image/video retrieval/storage, virtual reality and a variety of systems that involve interactions between persons or interactions between person and dev...

Motivation for the Real time vision based security system arises due to increasing crime activity now a days, which includes intrusion in high security areas where the presence of an unauthorized personis unacceptable. The paper carries out research on the low cost implementation of a system for change detection in a closed monitored area. This paper presents a vision based security system that...

SIFT and SURF image matching were used in many industries such as survey mapping, geology, medical automotive. Multispectral sensors offered today become new challenge for researchers to study the performances of algorithms on multispectral image. Basically, consists more than three bands. As a result, differences between those bands leads nonlinear intensity images. Both algorithm detectors us...

We compared the precision of perceptual localization and manual pointing. A Gaussian blob was presented 6 degrees to the right or left of a central fixation spot on a CRT screen. Above and below the blob, vertical lines were displayed. On each trial, the blob was slightly offset to the right or left with respect to the lines. The subjects had to judge whether the blob appeared to the right or t...

Edge detection is the process of identifying points in a digital image at which image brightness changes sharply. Edge detection is one of the fundamental tasks in Image Processing. Image processing tasks such as object identification, segmentation and robot vision requires high quality edge detection. In this paper an edge detection using Message Passing Interface (MPI) has been implemented wi...