A novel method for real-time object detection and multiple persons tracking

机译：一种实时物体检测和多人跟踪的新方法

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Real-time robust algorithms of object detection and multiple people tracking for outdoor visual surveillance scenes are researched. Firstly the background is constructed and updated based on a new adaptive Gaussion model considering pixels' chroma components and luminance component in HSV colorspace. Then foreground pixels are detected based on the background model. After moving objects are extracted, the Camshift algorithm-called Auto-Camshift which is based on H-S 2D histogram is extended to track multiple pedestrians. Occlusion during tracking is handled by the location estimation method according to pedestrians' moving velocity. Finally experiment results for outdoor surveillance scenes show that we are able to reliably detect and track multiple people in non-crowded surveillance scenes with real-time speed.

机译：研究了室外视觉监视场景的实时鲁棒目标检测和多人跟踪算法。首先，基于新的自适应高斯模型构造和更新背景，该模型考虑了HSV颜色空间中像素的色度分量和亮度分量。然后，基于背景模型检测前景像素。提取运动对象后，基于H-S 2D直方图的Camshift算法（称为Auto-Camshift）被扩展以跟踪多个行人。跟踪时的遮挡通过位置估计方法根据行人的移动速度进行处理。最后，室外监视场景的实验结果表明，我们能够以实时速度可靠地检测和跟踪非拥挤监视场景中的多个人。

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来源
《Proceedings of the Seventh international conference on fluid power transmission and control》|2009年|p.354-358|共5页
会议地点 Hangzhou(CN);Hangzhou(CN)
作者
Guishan Xiang; Xuanyin Wang;
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作者单位

School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China;

State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类液压传动;
关键词
Background reconstruction; Object extraction; Noise Removal; Auto-Camshift algorithm;

机译：背景重建；目标提取；噪声去除；自动Camshift算法;

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专利

1. REAL-TIME MULTIPLE MOVING OBJECTS DETECTION AND TRACKING WITH DIRECT LL-MASK BAND SCHEME [J] . Chih-Hsien Hsia, Jen-Shiun Chiang International Journal of Innovative Computing Information and Control . 2012,第7A期

机译：通过直接LL-Mask波段方案实时检测多个运动物体并进行跟踪
2. REAL-TIME MULTIPLE MOVING OBJECTS DETECTION AND TRACKING WITH DIRECT LL-MASK BAND SCHEME [J] . Chih-Hsien Hsia, Jen-Shiun Chiang The engineers journal . 2012,第2期

机译：通过直接LL-Mask波段方案进行实时多个运动目标的检测和跟踪
3. REAL-TIME MULTIPLE MOVING OBJECTS DETECTION AND TRACKING WITH DIRECT LL-MASK BAND SCHEME [J] . Chih-Hsien Hsia, Jen-Shiun Chiang The engineers journal . 2012,第2期

机译：通过直接LL-Mask波段方案实时检测多个运动物体并进行跟踪
4. OBJECT DETECTION AND TRACKING IN DISTRIBUTED SURVEILLANCE SYSTEMS USING MULTIPLE CAMERAS Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras [C] . C.S REGAZZONI, L. MARCENARO NATO advanced research workshop on multisensor data fusion . 2002

机译：使用多个摄像机的分布式监控系统中的多个摄像机对象检测和跟踪分布式监控系统的对象检测和跟踪
5. Real-time systems for moving objects detection and tracking using pixel difference method. [D] . Shen, Bo. 2005

机译：使用像素差异法进行运动物体检测和跟踪的实时系统。
6. Training-Based Methods for Comparison of Object Detection Methods for Visual Object Tracking [O] . Ahmad Delforouzi, Bhargav Pamarthi, Marcin Grzegorzek 2018

机译：用于视觉对象跟踪的对象检测方法比较的基于训练的方法
7. Real-time Detection, Tracking, and Classification of Moving and Stationary Objects using Multiple Fisheye Images [O] . Iljoo Baek, Albert Davies, Geng Yan, 2018

机译：使用多种Fisheye图像的实时检测，跟踪和分类移动和静止物体

A novel method for real-time object detection and multiple persons tracking

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