A fast human detection algorithm of video surveillance in emergencies
| Title | A fast human detection algorithm of video surveillance in emergencies |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Ma Juan, Hu Rongchun, Li Jian |
| Conference Name | Control and Decision Conference (2014 CCDC), The 26th Chinese |
| Date Published | May |
| Keywords | background subtraction, Conferences, detection algorithms, dilation, edge detection, edge tracking of head, Educational institutions, Electronic mail, emergencies, Estimation, fame subtraction, frame subtraction, Gaussian filter, Gaussian processes, human detection algorithm, IEEE Computer Society, Image edge detection, moving target, object detection, single Guassian model, target mask, video surveillance |
| Abstract | This paper propose a fast human detection algorithm of video surveillance in emergencies. Firstly through the background subtraction based on the single Guassian model and frame subtraction, we get the target mask which is optimized by Gaussian filter and dilation. Then the interest points of head is obtained from figures with target mask and edge detection. Finally according to detecting these pionts we can track the head and count the number of people with the frequence of moving target at the same place. Simulation results show that the algorithm can detect the moving object quickly and accurately. |
| URL | https://ieeexplore.ieee.org/document/6852404/ |
| DOI | 10.1109/CCDC.2014.6852404 |
| Citation Key | 6852404 |
- frame subtraction
- video surveillance
- target mask
- single Guassian model
- object detection
- Moving Target
- Image edge detection
- IEEE Computer Society
- human detection algorithm
- Gaussian processes
- Gaussian filter
- background subtraction
- fame subtraction
- estimation
- emergencies
- Electronic mail
- Educational institutions
- edge tracking of head
- edge detection
- dilation
- detection algorithms
- Conferences