The subject of scale selection is essential to many aspects of multi-scale and multi-resolution processing of image data. This article shows how a general heuristic principle for scale selection can be applied to the problem of detecting and localizing junctions. In a rst uncommitted processing step initial hypotheses about interesting scale levels (and regions of interest) are generated from s...

Automated motion detection and tracking is a challenging task in traffic surveillance. In this paper, a system is developed to gather useful information from stationary cameras for detecting moving objects in digital videos. The moving detection and tracking system is developed based on optical flow estimation together with application and combination of various relevant computer vision and ima...

Abstract—The edges of low contrast images are not clearly distinguishable to human eye. It is difficult to find the edges and boundaries in it. The present work encompasses a new approach for low contrast images. The Chebyshev polynomial based fractional order filter has been used for filtering operation on an image. The preprocessing has been performed by this filter on the input image. Laplac...

Research in abandoned object detection is a need now days due to increase in attack by terrorists or anti social elements at public places. The traditional way to observe the places or to track the places is the CCTV cameras. In the current research of detecting abandoned object, the results are not optimal and need more work in this area. This paper discusses the proposed system for detecting ...

This paper addresses a problem of skin segmentation for sign language recognition purposes. The main contributions of the presented research is an adaptive skin model enhanced with a blob analysis algorithm which significantly improves skin detection effectiveness. Adaptive skin detector utilizes a statistical skin color model updated dynamically based on a face region defined by eye positions....

We present a method to classify atomic density distributions using CCD images obtained in a quantum optics experiment. The classification is based on the scale invariant detection and precise localization of the central blob in the input image structure. The key idea is the usage of an a priori known shape of the feature in the image scale space. This approach results in higher localization acc...

This paper compares the performance of different edge detection methods like Sobel, Prewitt, Robert’s, Canny, Laplacian, Laplacian of Gaussian with Gabor filter on number of images. It has been concluded that in case of natural images a Gabor filter yields better results than other operators but in case of medical images like CT, PET, MRI, the Canny operator shows better results as it provides ...

This work presents a novel hardware/software codesign approach to blob detection. Camera images are preprocessed on a field-programmable gate array that separates foreground pixels from the background. The foreground pixels are transferred to the PC over a 100 Mbit/s Ethernet interface by using a custom protocol. The PC reconstructs the images from received foreground pixels and extracts center...