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MLP based Pedestrian Counting
- Source :
- IMCOM
- Publication Year :
- 2016
- Publisher :
- ACM, 2016.
-
Abstract
- In this paper, we presented an efficient pedestrian counting method for estimating the total number of crowed pedestrians in the video. For this, it detect interest points of the foreground area and the principal components of features - the number of foreground pixels, the number of edge pixels, and textures. These interest points and the principal components of features as an input value of multi-layer neural network that has been presented in this paper, it was learned in the back propagation algorithm utilizing sigmoid function.
- Subjects :
- Pixel
Artificial neural network
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
02 engineering and technology
Sigmoid function
Pedestrian
Back propagation algorithm
01 natural sciences
010104 statistics & probability
Computer Science::Computer Vision and Pattern Recognition
Principal component analysis
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Enhanced Data Rates for GSM Evolution
0101 mathematics
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication
- Accession number :
- edsair.doi...........af81171893ae9483f6b0ed93c5ee96a8