Tracking objects using image disparities
Image and Vision Computing - Special issue: 5th Alvey vision meeting
Digital image processing algorithms
Digital image processing algorithms
Motion Tracking with an Active Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Motion features to enhance scene segmentation in active visual attention
Pattern Recognition Letters
Weather-adaptive flying target detection and tracking from infrared video sequences
Expert Systems with Applications: An International Journal
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The problem of tracking moving parts of image is a significant for many practical applications. There are good reasons to track a wide variety of objects, including airplanes, missiles, vehicles, people, animals, and microorganisms. There are several approaches that can be used to find out an optimal solution for this problem. Here, an enhanced motion-based tracking system is presented. The enhancements basically are: 1. Focusing attention on informative pixels in the early stages of processing rather than waiting until a motion indication is obtained. 2. Concentrating only on the region of interest that contains the moving object instead of the whole image.The effect of various factors is studied to measure the system performance and limitations. A comparison of the conventional and the proposed approach is given, and a case study is carried out in order to examine EMBOT behavior in various operational conditions.