Optimal Foreground Detection Methods For Pixel Domain Video Objects - K. Suganya Devi
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
This Book discusses different approaches for extracting or detecting the foreground video objects in a pixel domain. To tackle with the problems related with existing approaches this book gives a solution by applying the following methods sequentially thereby to improve the efficiency. First, extraction of superpixel from a video frame to reduce the number of comparisons. Second, applying the background sub ... Täydellinen kuvaus
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Kuvaus
This Book discusses different approaches for extracting or detecting the foreground video objects in a pixel domain. To tackle with the problems related with existing approaches this book gives a solution by applying the following methods sequentially thereby to improve the efficiency. First, extraction of superpixel from a video frame to reduce the number of comparisons. Second, applying the background subtraction algorithm (Gaussian background Modeling) and optical flow on those superpixels extracted from each frame of the video. This is done to detect the edges of objects in the video clearly and finally by using the SMED (Separable Morphological Edge Detector) the foreground object is segmented from background scene accurately
Lisätietoja
| Kirjoittaja | K. Suganya Devi |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2015 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783659690198 |