Human Gait Recognition: Image Processing Using Averaged Silhouette - Rabeya Anzum
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Human identification at a distance gained growing interest recently in the field of computer vision research. Human gait, which is a new bio-metric aimed at recognizing individuals by the way they walk, and it plays an important role in visual surveillance applications. This book summarizes the research and related work done in the past on human gait recognition system and to solve algorithms which helps in ... Täydellinen kuvaus
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Kuvaus
Human identification at a distance gained growing interest recently in the field of computer vision research. Human gait, which is a new bio-metric aimed at recognizing individuals by the way they walk, and it plays an important role in visual surveillance applications. This book summarizes the research and related work done in the past on human gait recognition system and to solve algorithms which helps in identify walking subject from distance without any permission and interference of the walking subject. This can be achieved by making a database in which we record a video of the subject from a camera and then converting the video into frames of still images and later applying feature extraction techniques to get the silhouettes and training the silhouettes with principal component analysis. The proposed algorithm has a better recognition performance in comparison with the previous experiments at the same time with relatively low computational cost.
Lisätietoja
| Kirjoittaja | Rabeya Anzum |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786202682510 |