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https://hdl.handle.net/10356/74375| Title: | Pedestrian detection from surveillance camera | Authors: | Lau, Charmaine Rie | Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2018 | Abstract: | Surveillant cameras are widely installed along roadways, and the numbers are steadily increasing. The aim of this project is to develop an automatic algorithm to detect the pedestrian from the camera. Such an automatic algorithm can bring many benefits. For example, pedestrian density can be known or predicted (i.e. counting the number of human). It can help respond more effectively to abnormal situations, such as overcrowded region. | URI: | http://hdl.handle.net/10356/74375 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | INFINITUS Smart Mobility Experience Lab(SMEL) | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lau_Charmaine_Rie_FYP Report.pdf Restricted Access | Final Year Project Report | 2.9 MB | Adobe PDF | View/Open |
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