Visual tracking using meta-heuristic optimal algorithm - Mingliang Gao,Liju Yin,Jin Shen
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Visual tracking has emerged as a crucial task in several applications, e.g., robotics, surveillance, vision-based control and human computer interfaces. However, visual tracking is still a challenging task. In the monograph, visual tracking is interpreted as an optimization problem. Two meta-heuristic optimal algorithms, namely, bat algorithm and harmony search are applied to solve tracking problems. The mo ... Täydellinen kuvaus
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Kuvaus
Visual tracking has emerged as a crucial task in several applications, e.g., robotics, surveillance, vision-based control and human computer interfaces. However, visual tracking is still a challenging task. In the monograph, visual tracking is interpreted as an optimization problem. Two meta-heuristic optimal algorithms, namely, bat algorithm and harmony search are applied to solve tracking problems. The monograph presents a new way to solve visual tracking problem and expands the applications of meta-heuristic optimal algorithm.
Lisätietoja
| Kirjoittaja | Mingliang Gao, Liju Yin, Jin Shen |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2017 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783330041837 |