Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model can handle situations where the background of the scene is cluttered and not completely static but contains sma...

It is demonstrated experimentally, as well as analytically, that when the polarization of the light incident upon the first Nomarski–Wollaston prism in a differential interference contrast (DIC) light microscope is switched by 908, image highlights are changed into shadows and vice versa. Using an inexpensive ferroelectric liquid-crystal modulator, which is easily installed in the microscope, t...

Moving object detection is one of the most challenging tasks in intelligent video surveillance system. It aims to detect targets with a camera instead of human eyes and assist people to complete monitoring and control tasks. Moving target detection, classification, tracking, behavior understanding and description are included in intelligent video surveillance, but moving target detection is the...

This paper presents an effective feature processing algorithm for robust speech recognition, based on combined spectral and cepstral processing. The spectral processing consists of FullWave Rectification Spectral Subtraction (FWR-SS) and Likelihood Controlled Instantaneous Noise Estimation (LCINE) while the cepstral processing is based on meanand variance normalisation. The combination is motiv...

In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a method that tracks multiple people and identifies their body parts in multiple camera images. Estimation of the human positions and identification among the multiple cameras is mainly based on the silhouettes method c...

Measurements of strong suppression of inclusive hadron distributions and di-hadron correlations at high pT , while providing evidence for partonic energy loss, also suffer from geometric biases due to the competition of energy loss and fragmentation. The measurements of fully reconstructed jets is expected to lack these biases as the energy flow is measured independently of the fragmentation de...

Object tracking is more difficult and tricky to surveillance in real time. This proposed work deals with the tracking of moving object in a sequence of frames and it also determines the velocity of the object. In this work algorithms are developed for improving the image quality, segmentation, feature extraction and for identifying the velocity. The algorithms developed are implemented and eval...

This research aims to develop speed violated vehicle detection system using image processing technique. General works are software development of a system that requires a video scene, comprising the following components: moving vehicle starting reference point and end point of reference. A chip dedicated digital signal processing techniques used to exploit image processing computationally more ...

Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene that is compared with the current input to perform subtraction. Such approach is efficient when the scene to be modeled refers to a static structure with limited perturbation. In this paper, we address the problem of mode...

Rotational coronary angiography allows for volumetric imaging but requires cardiac and respiratory motion management to achieve meaningful reconstructions. Novel respiratory motion compensation algorithms based on data consistency conditions are applied directly in projection domain and, therefore, overcome the need for uncompensated reconstructions. Earlier, we combined single-frame background...