Abstract
The intelligent systems are becoming more important in life. Moving objects tracking is one of the tasks of intelligent systems. This paper proposes the algorithm to track the object in the street. The proposed method uses the amplitude of zernike moment on nonsubsampled contourlet transform to track object depending on context awareness. The algorithm has also been processed successfully such cases as the new object detection, object detection obscured after they reappeared, detecting and tracking objects which successfully intertwined and then separated again. The proposed method tested on a standard large dataset like PEST dataset, CAVIAR dataset and SUN dataset. The author has compared the results with the other recent methods. Experimental results of the proposed method performed well compared to the other methods.
Highlights
The intelligent systems are becoming more important in life
The proposed method uses the amplitude of zernike moment on NonSubsampled Contourlet Transform (NSCT) to track object depending on context awareness
It is calculated as the amplitude of zernike moment on contour binary images of the bounding boxed object as followings: first, the bounding boxed object image is contour detected by applying NSCT [18, 20] decomposition on it
Summary
The intelligent systems are becoming more important in life. Building an intelligent surveillance system can be split into four main challenges: moving object detection, object classification, object tracking and behavior recognition. There are many researchers who proposed the methods to track moving objects. Most of these methods are divided into four groups such as contour-based [1], regionbased [2], feature-based [3] and model-based [4] algorithms. Using apriori assignment combined with Euclidean metric distance, Bhattacharya to track objects The drawback of this method is to require the appropriate reference background image. The author proposes a method to implement for human tracking based on their contour. The proposed method uses the amplitude of zernike moment on NonSubsampled Contourlet Transform (NSCT) to track object depending on context awareness.
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