Spatial Histograms for Head Tracking
نویسندگان
چکیده
This work aims to analyze the use of spatial information and the effectiveness of such information for tracking a person’s head in a video sequence. This thesis introduces new concepts that make use of color information along with a limited amount of spatial information on a global scale. Also, existing concepts like co-occurrence matrices are adapted to color images to provide a concept that uses color and spatial information on a local scale. The work done also involves the introduction of two texture-based algorithms for tracking. To determine the efficiency of each tracker, the results are compared with a standard algorithm, namely the color histogram based tracker. Experimental results demonstrate the advantage of using a combination of color and spatial information. In addition, other plots and error measures show that the use of a limited amount of spatial information greatly improves tracking results, while also showing that color information is also needed for successful tracking.
منابع مشابه
Symmetric Kullback-Leibler Metric Based Tracking Behaviors for Bioinspired Robotic Eyes
A symmetric Kullback-Leibler metric based tracking system, capable of tracking moving targets, is presented for a bionic spherical parallel mechanism to minimize a tracking error function to simulate smooth pursuit of human eyes. More specifically, we propose a real-time moving target tracking algorithm which utilizes spatial histograms taking into account symmetric Kullback-Leibler metric. In ...
متن کاملردیابی و شناسایی مجدد افراد در شبکه ای از دوربین ها با دید مجزا بر مبنای سیستم فازی در محیط های بسته
The selection of a suitable feature is an important and indispensible issue in real-time surveillance systems employing a network of cameras to achieve rapid and accurate results. We have used the concept of color image histograms, as a simple but efficient method, to track people in different cameras in this research. Employing the image histogram for tracking may not be robust as it is sensit...
متن کاملElliptical Head Tracker using Intensity Gradients and Texture Histograms
Various algorithms have been developed in the recent past for tracking a person’s head. Here, an algorithm based on the elliptical head tracker described in [2] is introduced which uses intensity gradients and texture histograms to track a person’s head. The algorithm models the head as a vertical ellipse with a fixed aspect ratio whose position and size are continually updated by the combined ...
متن کاملMulti−scale Histograms for Kernel−based Object Tracking
Kernel based−methods using color histogram approach are recently used for visual tracking due to their efficiency and robustness. However, a color histogram suffers from the inability to encode spatial image information, thus images with very different appearances can have similar color histograms. This problem is especially critical in various applications such as retrieval for image and video...
متن کاملMotion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are robust against errors in rotation, translation and scale changes during image alignment. Motion information is also incorporated into the histograms by using difference images instead of raw images. We take the principa...
متن کامل