EVALUATION OF MOVING OBJECT DETECTION BASED ON VARIOUS INPUT NOISE USING FIXED CAMERA

被引：1

作者：

Kiaee, N. ^{[1
]}

Hashemizadeh, E. ^{[2
]}

Zarrinpanjeh, N. ^{[3
]}

机构：

[1] Islamic Azad Univ, Dept Comp Engn, Karaj Branch, Karaj, Iran

[2] Islamic Azad Univ, Dept Math, Karaj Branch, Karaj, Iran

[3] Islamic Azad Univ, Dept Civil Engn, Qazvin Branch, Qazvin, Iran

来源：

ISPRS INTERNATIONAL JOINT CONFERENCES OF THE 2ND GEOSPATIAL INFORMATION RESEARCH (GI RESEARCH 2017); THE 4TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING (SMPR 2017); THE 6TH EARTH OBSERVATION OF ENVIRONMENTAL CHANGES (EOEC 2017) | 2017年 / 42-4卷 / W4期

关键词：

Background subtraction; Morphological operation; Moving object detection; Computer vision; Video surveillance; Fixed camera; SYSTEM;

D O I：

10.5194/isprs-archives-XLII-4-W4-151-2017

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Detecting and tracking objects in video has been as a research area of interest in the field of image processing and computer vision. This paper evaluates the performance of a novel method for object detection algorithm in video sequences. This process helps us to know the advantage of this method which is being used. The proposed framework compares the correct and wrong detection percentage of this algorithm. This method was evaluated with the collected data in the field of urban transport which include car and pedestrian in fixed camera situation. The results show that the accuracy of the algorithm will decreases because of image resolution reduction.

引用

页码：151 / 154

页数：4

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