In most of the video analysis applications, object detection and tracking play vital role. Most algorithms fail to predict multiple objects with varying orientation. this paper, goal is identify track using different feature extraction methods like Locality Sensitive Histogram, Histogram Oriented Gradients Edges. These features are subjected train classifier that can detect orientations. Experi...

The second chapter provides a deep overview of the basic visual feature extraction and description methods and approaches in the literature for images as well as for spatio-temporal data analysis. The chapter aims to clarify the process of the main recognition steps of detection and description of image. Interest point detection approaches, point-based and region-based detectors, the spatiotemp...

Automatic object detection in megapixel images is quite inaccurate and a time and memory expensive task, even with feature detectors and descriptors like SIFT, SURF, ORB, and KAZE. In this paper we propose an interactive feature growing process, which draws on the efficiency of the users’ visual system. The performance of the visual system in search tasks is not affected by the pixel density, s...

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that the semantic web is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic ...

Visual attention is a very important task in autonomous robotics, but, because of its complexity, the processing time required is significant. We propose an architecture for feature selection using foveated images that is guided by visual attention tasks and that reduces the processing time required to perform these tasks. Our system can be applied in bottom–up or top–down visual attention. The...

This article deals with the problem of recognition of semi-structured documents image. The aim is to detect a document and to extract the region of interest containing it. Initially, an exemple of document is given by the user and a set of interest points are extracted from this query image. In a second step, a set of interest points is extracted from each image to analyse and is matched with t...

This paper presents an efficient ear recognition technique which derives benefits from the local features of the ear and attempt to handle the problems due to pose, poor contrast, change in illumination and lack of registration. It uses (1) three image enhancement techniques in parallel to neutralize the effect of poor contrast, noise and illumination, (2) a local feature extraction technique (...

The object of research is the algorithm piecewise linear approximation when applying it to selection facial features and compression its images. One problem areas obtain optimal ratio degree accuracy image reproduction, as well obtained features, which can be used search for people in databases. main characteristics face are coordinates size eyes, mouth, nose other objects attention. Dimensions...