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A Novel System for Non-Invasive Method of Animal Tracking and Classification in Designated Area Using Intelligent Camera System

机译:基于智能相机系统的非侵入性指定区域动物追踪分类新系统

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摘要

This paper proposed a novel system for non-invasive method of animal tracking and classification in designated area. The system is based on intelligent devices with cameras, which are situated in a designated area and a main computing unit (MCU) acting as a system master. Intelligent devices track animals and then send data to MCU to evaluation. The main purpose of this system is detection and classification of moving animals in a designated area and then creation of migration corridors of wild animals. In the intelligent devices, background subtraction method and CAMShift algorithm are used to detect and track animals in the scene. Then, visual descriptors are used to create representation of unknown objects. In order to achieve the best accuracy in classification, key frame extraction method is used to filtrate an object from detection module. Afterwards, Support Vector Machine is used to classify unknown moving animals.
机译:本文提出了一种新的指定区域动物跟踪和分类的无创方法系统。该系统基于带有摄像头的智能设备,这些摄像头位于指定区域中,并且主计算单元(MCU)充当系统主机。智能设备会跟踪动物,然后将数据发送到MCU进行评估。该系统的主要目的是对指定区域中的活动动物进行检测和分类,然后创建野生动物的迁徙通道。在智能设备中,背景扣除法和CAMShift算法用于检测和跟踪场景中的动物。然后,视觉描述符用于创建未知对象的表示。为了达到最好的分类精度,关键帧提取方法用于从检测模块中过滤出物体。之后,使用支持向量机对未知的运动动物进行分类。

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