Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/52601
Title: Robust object detection and tracking for real-time application
Authors: Pung, Wei Wei
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Abstract: The report is mainly a detailed documentation of the development of the mean shift method application in Kernel based object tracking. The author will study in depth the concepts of the object detection and object tracking and the implementation of the object tracking and object detection algorithm. The fundamental concepts and background of the mean shift method in object tracking also will be studied in depth. Then the computation of mean shift method in object tracking will be implemented in Matlab. The implementation will started with the basic computation of mean shift tracking method. Next, the author will modify the basic mean shift tracking method. The orientation based approach will be introduced. The tracking results will be discussed and compared. We will obtain the results that below our expectation with the average dropping of 33.75%. The further improvement and modification will be done to get the better tracking results. The modification is done by the implementation of four boxes tracking window algorithm. The improvement of 42.33% of the average performance is obtained after the modification. . In order to better improve the tracking results, the implementation of fusion system is introduced in the last session of the report. The fusion system consists of object tracking algorithm and object detection algorithm. The average tracking results is further improved by 43.69% by fusion system. Finally the recommendation for further research of the project is discussed.
URI: http://hdl.handle.net/10356/52601
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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