Object counting for intelligent video surveillance
The population of the world has been increasing and crowded scenes are more likely to occur, especially in some big cities. Accurate object counting is able to estimate the number of objects and avoid congested crowd causing accidents through reporting the real-time surveillance traffic of people co...
Saved in:
Main Author: | Zhang, Haobo |
---|---|
Other Authors: | Lap-Pui Chau |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/141299 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Crowd counting for intelligent video surveillance
by: Chen, Pengyu
Published: (2022) -
Video surveillance for intelligent transportation system
by: Liu, Jiamin
Published: (2019) -
Object detection and tracking from surveillance videos
by: Yuan, Ziying
Published: (2015) -
An object-based algorithm for surveillance video compression
by: Divya, Venkatraman
Published: (2009) -
Intelligent video segmentation for extracting video objects
by: Mao, Jinghong.
Published: (2008)