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Pedestrian Detection Based on Deep L...

Chen, Li.

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Pedestrian Detection Based on Deep Learning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pedestrian Detection Based on Deep Learning./
作者:	Chen, Li.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	55 p.
附註:	Source: Masters Abstracts International, Volume: 57-04.
Contained By:	Masters Abstracts International57-04(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10622123
ISBN:	9780355472189

Pedestrian Detection Based on Deep Learning.
Chen, Li.

Pedestrian Detection Based on Deep Learning. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 55 p.

Source: Masters Abstracts International, Volume: 57-04.

Thesis (M.S.)--University of California, Riverside, 2017.

In general, researchers use hand-crafted methods or combine with the deep learning to solve the problem of Pedestrian Detection. In this paper, this problem can be implemented in the purely convolution neural network. Region Proposal Network, proposed by the algorithm for objects detection could be modified and applied on the pedestrian detection. After getting feature maps from the pretrained model, feed them into the new model and train by using Tensorflow as the deep learning framework, we can get the predicted bounding boxes that contain the pedestrians. This method is efficient and can reach the accuracy around 80 percent.

ISBN: 9780355472189Subjects--Topical Terms:

649834
Electrical engineering.

Pedestrian Detection Based on Deep Learning.
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