HOG and TLD based Pedestrian Detection and Tracking System
碩士 === 國立臺灣科技大學 === 機械工程系 === 103 === The purpose of this thesis is using a RGB camera to implement recognition and tracking of pedestrian. In this thesis, Histogram of Oriented Gradient(HOG) is used to extract the features of pedestrian, these features to are used to train a SVM as our pedestrian d...
Main Authors: | Ming-Han Ta, 達明翰 |
---|---|
Other Authors: | Wei-Wen Kao |
Format: | Others |
Language: | zh-TW |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/55986190658944163165 |
Similar Items
-
Real-Time Pedestrian Tracking and Counting with TLD
by: Jiawei Shi, et al.
Published: (2018-01-01) -
Range assisted HOG pedestrian detection
by: Ta-Wei Chou, et al.
Published: (2012) -
Semantic-Driven HOG-Based Pedestrian Detection
by: Cyuan-Yi Mao, et al.
Published: (2011) -
A Pedestrian Detection Technique Basedon HOG Algorithm and SVM Classifier
by: Chung Ming-Hsuan, et al.
Published: (2017) -
Pedestrian Detection Based on Haar and HoG features
by: Chen, Yi-Chu, et al.
Published: (2011)