Realtime Robust Curved Lane Detection Algorithm using Gaussian Mixture Model

In order to reduce the difficulty of adjusting parameters for the codebook model and the computational complexity of probability distribution for the Gaussian mixture model in intelligent visual surveillance, a moving objects detection algorithm based on three-dimensional Gaussian mixture codebook model using XYZ color model is proposed. In this algorithm, a codebook model based on XYZ color model is built, and then the Gaussian model based on X, Y and Z components in codewords is established respectively. In this way, the characteristic of the three-dimensional Gaussian mixture model for the codebook model is obtained. The experimental results show that the proposed algorithm can attain higher real-time capability and its average frame rate is about 16.7 frames per second, while it is about 8.3 frames per second for the iGMM (improved Gaussian mixture model) algorithm, about 6.1 frames per second for the BM (Bayes model) algorithm, about 12.5 frames per second for the GCBM (Gaussian-based codebook model) algorithm, and about 8.5 frames per second for the CBM (codebook model) algorithm in the comparative experiments. Furthermore the proposed algorithm can obtain better detection quantity.

Download Full-text

A Moving Object Detection Algorithm Based on Improved Gaussian Mixture Model

Proceedings of 20th International Conference on Industrial Engineering and Engineering Management ◽

10.1007/978-3-642-40063-6_40 ◽

2013 ◽

pp. 399-408

Author(s):

Huai-zhi Ma ◽

Li-na Gong ◽

Jin-qian Yu

Keyword(s):

Object Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Detection Algorithm ◽

Moving Object Detection ◽

Moving Object

Download Full-text

Outlier Detection Algorithm Based on Gaussian Mixture Model

2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) ◽

10.1109/icpics47731.2019.8942474 ◽

2019 ◽

Author(s):

Wenbo Liu ◽

Delong Cui ◽

Zhiping Peng ◽

Jihai Zhong

Keyword(s):

Outlier Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Detection Algorithm

Download Full-text

Moving Object Detection Based on the Fish

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.1253 ◽

2014 ◽

Vol 644-650 ◽

pp. 1253-1256 ◽

Cited By ~ 1

Author(s):

Lian Li ◽

Jun Yi Song ◽

Zhi Yang Yan

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Industrial Process ◽

Gaussian Mixture ◽

Traffic Monitoring ◽

Detection Algorithm ◽

Moving Object ◽

Moving Target ◽

Target Fish ◽

The Military

The detection and tracking of moving object is the important research of image analysis and understanding as well as in computer vision field, and have extensive application in the traffic monitoring, the military, industrial process control and medical research, but less application in the underwater monitoring of fish. In this paper, in order to be able to real-time detection of the fish in the digital video system moving target, proposed the fish moving target detection algorithm under a camera. With an improved background updating method of adaptive Gaussian mixture model, a method to detect the target fish based on Gaussian mixture model combined with edge detection operator.

Download Full-text