A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Moving human is quite complicated to track since there are variations in background, texture, and lighting in an environment. This paper presents an effective method for tracking a human guide from a camera follower in both indoor and outdoor condition. This algorithm is designed to be embedded in a smart wheelchair. A conventional human detection by using Histogram of Oriented Gradient (HOG) was used at the first stage, then each detected human by HOG is utilized for tracking algorithm. Thefatcat:m6ubmrx3wrgy7hyfbk4tp5hj6i