| Collection Title: | SIU RS | | Title : | Evaluation of Object Tracking Methods in OpenCV | | Material Type: | printed text | | Authors: | Ithipol Kaosucharit, Author ; Aekavute Sujarae, Associated Name ; Sumeth Yuenyong, Associated Name | | Publisher: | Bangkok: Shinawatra University | | Publication Date: | 2017 | | Pagination: | vi, 33 p. | | Layout: | Tables, ill | | Size: | 30 cm. | | Price: | 500.00 | | General note: | SIU RS: SOST-MSIT-2017-01
Research Study. [SO[Science and Technology]]. -- Shinawatra University, 2017 | | Languages : | English (eng) | | Descriptors: | [LCSH]Computer software -- Evaluation
| | Keywords: | OpenCV,
Camshift tracking method,
LK tracking methods,
Evaluation of tracking methods | | Abstract: | This research study focuses on a review of tracking methods and video tracking techniques, an evaluation of tracking methods in OpenCV, Histogram based tracking and Motion based tracking, Meanshift, Camshift and LK tracking methods.
The review consists of a survey of object tracking, OpenCV, Background Removing in video, techniques available to extract the information required for video tracking. Advantages and disadvantages of each tracking methods are also reviewed.
In the evaluation of tracking methods, the color similarity between background and tracking object is concern as well as the effect of speed object tracking. RGB of objects and background colors are measured to find the percentage of similarity. Conclusion is drawn to find the advantages and disadvantages of each tracking methods based on different situation.
| | Curricular : | BSCS/MSIT | | Record link: | http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27546 |
SIU RS. Evaluation of Object Tracking Methods in OpenCV [printed text] / Ithipol Kaosucharit, Author ; Aekavute Sujarae, Associated Name ; Sumeth Yuenyong, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2017 . - vi, 33 p. : Tables, ill ; 30 cm. 500.00 SIU RS: SOST-MSIT-2017-01
Research Study. [SO[Science and Technology]]. -- Shinawatra University, 2017 Languages : English ( eng) | Descriptors: | [LCSH]Computer software -- Evaluation
| | Keywords: | OpenCV,
Camshift tracking method,
LK tracking methods,
Evaluation of tracking methods | | Abstract: | This research study focuses on a review of tracking methods and video tracking techniques, an evaluation of tracking methods in OpenCV, Histogram based tracking and Motion based tracking, Meanshift, Camshift and LK tracking methods.
The review consists of a survey of object tracking, OpenCV, Background Removing in video, techniques available to extract the information required for video tracking. Advantages and disadvantages of each tracking methods are also reviewed.
In the evaluation of tracking methods, the color similarity between background and tracking object is concern as well as the effect of speed object tracking. RGB of objects and background colors are measured to find the percentage of similarity. Conclusion is drawn to find the advantages and disadvantages of each tracking methods based on different situation.
| | Curricular : | BSCS/MSIT | | Record link: | http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27546 |
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