DETECTION AND TRACKING OF MOVING OBJECTS WITH REAL-TIME ONBOARD VISION SYSTEM

被引：2
|
作者：
Erokhin, D. Y. [1 ]
Feldman, A. B. [1 ]
Korepanov, S. E. [1 ]
机构：
[1] Ryazan State Radio Engn Univ, Dept Automat & Informat Technol Control, Gagarina Str 59-1, Ryazan 390005, Russia
来源：
INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE | 2017年 / 42-2卷 / W4期
关键词：
Detection; Tracking; Background estimation; Motion object; Geometrical transform estimation;
D O I：
10.5194/isprs-archives-XLII-2-W4-67-2017
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms, which can detect and track moving objects in real time computer vision system. This set includes three main parts: the algorithm for estimation and compensation of geometric transformations of images, an algorithm for detection of moving objects, an algorithm to tracking of the detected objects and prediction their position. The results can be claimed to create onboard vision systems of aircraft, including those relating to small and unmanned aircraft.
引用
收藏
页码：67 / 71
页数：5
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