| Type of Material: | Thesis |
| Title: | An Efficient 3d Trajectory Based Motion Capture in a Video |
| Researcher: | SIMI MARGARAT, G |
| Guide: | SIVA SUBRAMANIAN, S |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2020 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2020; D13CS018 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSIMI MARGARAT, G|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aAn Efficient 3d Trajectory Based Motion Capture in a Video |
| 260 | __ | |aChennai|bBharath University, Chennai|c2020 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2020|oD13CS018 |
| 520 | __ | |aComputer vision is getting close attention in recent years for the application like security, medical, sports and games. In games like cricket, baseball, basket ball their role is increasing. The challenge lies on the detection from video frame when the object is in motion. This work focuses on the design and development of a method for ball detection and tracking. The work is started with the investigation of denoising, detection and tracking methods. In literature techniques had been developed such as optical flow, frame difference, background subtraction and skin color extraction. The methods are based on time, frequency and statistical analysis. But most of the methods suffer from computational complexity. The methods investigated were trajectory based ball detection and tracking, region growing algorithm, PSO algorithm and Mean Shift algorithm with HSV color space and texture features. In this work the methods like frame differencing and color based detection were used. The frame differencing method us |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aSIVA SUBRAMANIAN, S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/321474|yShodhganga |
| 905 | __ | |afromsg |
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