Model identification method based on video Fisher vector descriptors

A Fisher vector and car model recognition technology, applied in the field of pattern classification, can solve problems such as complex construction and installation process, high cost, and difficult maintenance, and achieve the effects of improving car model recognition rate, reducing memory consumption, and high search accuracy

Inactive Publication Date: 2016-02-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Relatively mature technologies include loop coil detection, excitation infrared detection, ultrasonic/microwave detection, geomagnetic detection, etc., but these methods have their own advantages and disadvantages. The advantage is that the recognition acc...

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  • Model identification method based on video Fisher vector descriptors
  • Model identification method based on video Fisher vector descriptors
  • Model identification method based on video Fisher vector descriptors

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Embodiment Construction

[0037] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0038] The invention proposes a vehicle type identification method based on the video Fisher vector descriptor, which achieves good results in vehicle type identification. The schematic diagram of the entire algorithm implementation is shown in Figure 1, including steps:

[0039] Step 1: For the vehicle video used for training, track the image of each vehicle type in the video, and extract the SIFT feature of each frame image of the vehicle type;

[0040] It mainly includes the following steps:

[0041] Step 1.1: Track the images of each vehicle type in the training video. Since the present invention is mainly aimed at vehicle type identification, what is adopted in the tracking module is the basic particle filter technology to track the ...

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Abstract

The invention discloses a model identification method based on video Fisher vector descriptors. The method comprises the following steps: first of all, tacking a vehicle for training, tracking an image of each model in a video, and extracting an SIFT characteristic of each frame of the image of the model; then, performing Fisher vector coding calculation on all the SIFT characteristics of the model image; then performing PCA dimension reduction on obtained Fisher vector descriptors; then performing binarization on the descriptors after the dimension reduction to obtain the video Fisher vector descriptors of the model; performing SVM training on all the obtained descriptors to obtain an identification system with N model types; and for a vehicle video for testing, extracting the video Fisher vector descriptors of the vehicle video, introducing the video Fisher vector descriptors into a well trained SVM classifier for the testing, and identifying the model of the test vehicle video.

Description

technical field [0001] The invention belongs to the technical field of pattern classification, in particular to a method for identifying vehicle types based on video Fisher vector descriptors. Background technique [0002] In the past 10 years, China's road transportation infrastructure has made great achievements and continues to develop at a high speed. With the rapid growth of the national economy and the continuous deepening of China's urbanization process, the number of vehicles in China has increased rapidly, which has brought enormous pressure to the environment and brought many problems to urban development and economic growth. In general, China's road transportation industry is facing the following challenges: (1) The ever-expanding population size and the continuous and rapid growth of the number of cars have increased the pressure on road traffic; (2) The energy consumption of road transportation is huge, and energy Insufficient utilization; (3) high incidence of...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06V2201/08G06F18/2411
Inventor 李鸿升胡欢刘海军曹滨周辉
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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