An Effective Algorithm for Tank Objects Identification in a Complex Background

Xiong Yan; Peng Jiaxiong; Ding Mingyue

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An Effective Algorithm for Tank Objects Identification in a Complex Background

机译：复杂背景下坦克目标识别的有效算法

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摘要

An effective algorithm for tank objects identification in a complex background that features the perceptual organization is proposed in this paper. With multi-window architecture, the algorithm consists of two parts: coarse recognition and detailed recognition. Based on prior knowledge, coarse recognition scans the entire image data, then gets the target-kernel and its interesting window to direct detailed processing. Moreover, the detailed recognition executes a depth-first search which retrieves locally around the target-kernel in the window according to the rule of similarity measure. Experimental results show that the algorithm can identify tank objects in a complicated scene effectively.

机译：提出了一种在复杂背景下具有感知组织特征的有效的坦克目标识别算法。在多窗口架构下，该算法由两部分组成：粗略识别和详细识别。基于先验知识，粗略识别会扫描整个图像数据，然后获取目标内核及其有趣的窗口以指导详细处理。此外，详细识别执行深度优先搜索，该深度优先搜索根据相似性度量的规则在窗口中的目标内核周围进行局部检索。实验结果表明，该算法能有效识别复杂场景中的坦克物体。

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来源
《High Technology Letters》 |1996年第1期|p.68-71|共4页
作者
Xiong Yan; Peng Jiaxiong; Ding Mingyue;
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作者单位

Institute of Pattern Recognition & AI, Huazhong University of Science & Technology, Wuhan 430074, P.R. China;

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原文格式 PDF
正文语种 eng
中图分类工业技术;自然科学总论;
关键词
object identification; detailed recognition; knowledge-based coarse recognition; depth-first search;

机译：目标识别;详细识别;基于知识的粗略识别;深度优先搜索;

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专利

1. An Effective Algorithm for Tank Objects Identification in a Complex Background [J] . 熊艳高技术通讯：英文版 . 1996,第001期

机译：复杂背景中的坦克对象识别有效算法
2. Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background [J] . Meng Ong Kok, Pauline Ong, Kiong Sia Chee, Applied Soft Computing . 2019,第期

机译：在复杂背景下的可见图像序列的改性花授粉算法有效移动对象跟踪
3. Development of effective algorithms for identification of technological control object [J] . V. V. Ivaschuk Приборы и системы: управление, контроль, диагностика . 2001,第10期

机译：开发用于识别工艺控制对象的有效算法
4. AN EFFECTIVE OBJECT TRACKING ALGORITHM BASED ON CAM-SHIFT UNDER COMPLEX BACKGROUND [C] . YANG Li Mao, rnTANG Xuan International Symposium on Computer Science and Technology;ISCST . 2007

机译：复杂背景下基于凸轮位移的有效目标跟踪算法
5. Data mining based learning algorithms for semi-supervised object identification and tracking. [D] . Dessauer, Michael P. 2011

机译：基于数据挖掘的学习算法，用于半监督对象识别和跟踪。
6. Unsupervised background-constrained tank segmentation of infrared images in complex background based on the Otsu method [O] . Yulong Zhou, Min Gao, Dan Fang, -1

机译：基于Otsu方法的复杂背景下无监督背景下红外图像坦克分割
7. Implementation of moving object detection using angle change method This paper conclude the work in terms of input and output parameter that has been considered while detecting the moving object in video surveillance. It also provides with a look up of our work area. This paper presents a discussion of various techniques like Background subtraction, Block matching, Frame differencing, Optical Flow used in motion detection and also include the comparative analysis of two algorithms first is Colour method(Space vector difference method) and second is angle change method. [O] . 2017

机译：使用角度变化方法的移动物体检测的实现本文在检测视频监控中检测到移动对象的同时考虑的输入和输出参数方面的工作结束。它还提供了我们工作区的抬头。本文提出了与背景减法，块匹配，帧差异，在运动检测中使用的光流等来的各种技术的讨论，并且还包括两个算法的比较分析首先是颜色方法（空间向量差法）和第二是角度变化方法。

An Effective Algorithm for Tank Objects Identification in a Complex Background

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