Pedestrian Detection using HOG Features
显示 更早的评论
Goal: Implement pedestrian detection using HOG and libsvm. I am able to extract HOG features for each image, and train/test libsvm classifier successfully (I manually verified predictions that pedestrians were/were not present).
I need guidance on the following... In the image, I want to detect exactly where the pedestrian is, and create a bounding box around the pedestrian.
My guess is that I do a sliding window on the image, extract the HOG features from the window, test those features within libsvm, and draw a rectangle around the window if it comes back positive.
Am I on the right track? Any code hints or snippets would be helpful.
1 个评论
Algorithms Analyst
2012-11-7
HI Schrute
Hello
can you tell me plz how did you apply the HOG function on image?
采纳的回答
Image Analyst
2012-6-5
0 个投票
See sections 16, 18, and 22 for articles by those who have done it before: http://iris.usc.edu/Vision-Notes/bibliography/contents.html
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Image Category Classification 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
