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A Passenger Head Detection Method at Bus Entrance and Exit Based on Empirical Mode Decomposition

A technology of empirical mode decomposition and head detection, applied in image analysis, computer parts, character and pattern recognition, etc. The effect of high operation efficiency, small calculation amount and high accuracy

Active Publication Date: 2020-12-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0009] Based on the above technical problems, the present invention provides a passenger head detection method at the entrance and exit of a bus based on empirical mode decomposition, which solves the missing detection and false detection rate in the statistics system of passengers getting on and off the bus due to illumination, passenger clothes, and passenger body shadows. High, low robustness to light and low system operating efficiency technical problems

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  • A Passenger Head Detection Method at Bus Entrance and Exit Based on Empirical Mode Decomposition
  • A Passenger Head Detection Method at Bus Entrance and Exit Based on Empirical Mode Decomposition
  • A Passenger Head Detection Method at Bus Entrance and Exit Based on Empirical Mode Decomposition

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Embodiment Construction

[0055] All the features disclosed in this specification, except mutually exclusive features and / or steps, can be combined in any way.

[0056] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0057] A passenger head detection method at a bus entrance and exit based on empirical mode decomposition, comprising the following steps:

[0058] Step 1: To the image f j In (i), the j-th row image is subjected to empirical mode decomposition to obtain the intrinsic mode function of the j-th row image Specific steps are as follows:

[0059] S201: Grayscale the image, obtain the grayscale value of each pixel of the image, calculate the average grayscale value of the image, subtract the average grayscale value from the grayscale value of each pixel in the image, and obtain the processed image f j (i);

[0060] S202: Determine image f j The maximum value and minimum value of row j in (i), the formula is as follows:

[0061] Ma...

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Abstract

Belonging to the application field of bus video passenger statistics, the invention discloses a bus entrance and exit passenger head detection method based on empirical mode decomposition; j In (i), the image in the jth row is decomposed by empirical mode, and the intrinsic mode function of the image in the jth row is obtained, and then the objective function F in the jth row is obtained by using the intrinsic mode function in the jth row. j (i); finally use the objective function F j (i) Get the threshold t of the image q , using the threshold t q The image is segmented to complete the extraction of the passenger's head in the video. The present invention eliminates the influence of the complex background in the operation of the bus, improves the accuracy and reliability of the identification and extraction of the passenger's head, and effectively removes the influence of the passenger's clothes. false detection.

Description

technical field [0001] The invention relates to the extraction of moving targets in video analysis, in particular to an empirical mode decomposition-based method for detecting passenger heads at bus entrances and exits, which is used for extracting passenger heads in monitoring videos of public transport systems. Background technique [0002] The key to accurately counting the number of bus passengers is to correctly identify the target of interest in the image from the video sequence, and then to continuously observe the motion state of the target, thereby judging the number and direction of the target, and finally by counting The statistics of the number of people are completed by setting the rules. A good way to extract targets can greatly improve the efficiency of subsequent processing such as target tracking and target behavior understanding. [0003] Because images and video sequences are easily affected by factors such as light, temperature, shadows, etc., the extrac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06K9/00
CPCG06T7/0002G06T7/136G06T2207/30242G06T2207/30268G06T2207/30196G06V40/10
Inventor 孙伟嘉陈邦柱王春卓陈科彭真明李美惠黄苏琦彭凌冰饶行妹何艳敏王卓然
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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