Description: Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descriptors and adaptive learning article describes a multi-camera system under the target detection and tracking, and self-learning methods. Useful reference value. Platform: |
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Author:张涛 |
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Description: 《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly related to content of the
video. However, the developed systems are still too slow for a broad application of
the technique. To increase the accessibility of direct manipulation a system has to
fulfill certain requirements:
• Computation times have to be so small that the system can work in situation
with time constraints.
• The system has to accommodate for the user’s greater comprehension of a
scene. This includes camera motion, fore- and background, and occlusions.
Based on the requirements, we developed and implemented the DRAGONEYE system.
The tracker employs point tracking, with points provided by SIFT [Lowe,
2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A
model of the tracked object is built and continuously updated to fit the current conditions.
This model allows the detection and recover Platform: |
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Author:童癸 |
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Description: Tracking people in a dense crowd is a challenging problem
for a single camera tracker due to occlusions and extensive
motion that make human segmentation difficult. In this
paper we suggest a method for simultaneously tracking all
people in a dense crowd using a set of cameras with overlapping
fields of view. To overcome occlusions, the cameras
are placed at a high elevation and only people’s heads
are tracked. Head detection is still difficult since each foreground
region may consist of multiple subjects. By combining
data from several views, height information is extracted
and used for head segmentation. Platform: |
Size: 944128 |
Author:kaw |
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Description: This fascinating eye-tracking system was developed with an EKK-LM3S9B96 evaluation board and a USB camera. The Stellaris MCU works as a USB host and controls the camera. A button on the board is for switching the calibration/tracking modes. In Calibration mode, a captured eye image with detected markers is displayed on a computer screen. In the Tracking mode, gaze points are plotted on a white image. Results can be monitored by multiple PCs on a network Platform: |
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Author:ahmed |
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Description: 智能视频监控是利用计算机视觉技术对摄像机采集的视频数据进
行分析、理解，并以此为基础对视频监控系统进行控制。由于单个摄
像机都视野域有限，监控大范围场景时需要使用多摄像机系统。智能
视频跟踪系统中多个摄像机的使用有利于解决遮挡问题，场景混乱、
环境光照突变情况下的运动目标跟踪等问题。 而且基于多摄像机的视
频跟踪在高级人机交互、视频会议、医疗诊断以及基于内容的存储与
检索等方面有广泛的应用前景和潜在的经济价值-Intelligent video surveillance is the use of computer vision technology to capture the video data into the camera
Line analysis, understanding, and based on the video surveillance system to control it. Since a single photo
Camera vision field are limited, monitoring a wide range of scenarios need to use multi-camera system. Smart
Video tracking system using multiple cameras are conducive to resolving the occlusion problem, the scene chaotic
Mutation under ambient light moving target tracking and other issues. And is based multi-view camera
High frequency of human-computer interaction tracking, video conferencing, medical diagnosis and content-based storage and
Search has wide application prospect and potential economic value of
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Author:sqd |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion. Platform: |
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Author:linuszhao |
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Description: 在优化粒子滤波跟踪框架下, 设计并实现了一个结合多种图像特征、在多摄像机环境下跟踪人体运动的三
维人体运动跟踪系统1 通过定义三维人体模型、摄像机模型以及观测似然模型, 得到跟踪所需目标函数, 并使用优化
粒子滤波算法进行求解1 实验结果表明, 该系统能够对人体运动进行准确的跟踪和三维重建, 可应用于体育运动分
析和动画制作等领域1-A v ideo-based 3D human body motion t racking system is developed under the optimizat ion part
icle f ilter framework, w hich combines mult iple cues in multiple cameras environment1 By def ining the 3D
body model, camera model and image likelihood model, w e can define the tracking object funct ion and resolve
it using opt imized part icle f ilter1 T he experiment s show that t racking and reconstructing result s made
by our system are accurate and effect ive1 This system can be applied to several areas such as sport ing mot ion
analysis and human animat ion1 Platform: |
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Author:cp |
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Description: 多摄像机视频监控中运动目标检测与跟踪,提出在多个摄像头下对目标检测与跟踪的算法-Multi-Camera Video Surveillance moving target detection and tracking is presented in multiple cameras under target detection and tracking algorithms Platform: |
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Author:黄翔 |
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Description: 高通增强现实
The Image Targets sample shows how to detect an image target and render a simple object on top of it. The sample code shows how to do the following:
Enable the simultaneous detection and tracking of multiple targets
Create, load, and activate multiple device databases
Manage different aspects of the camera, such as flash and autofocus-The Image Targets sample shows how to detect an image target and render a simple object on top of it. The sample code shows how to do the following:
Enable the simultaneous detection and tracking of multiple targets
Create, load, and activate multiple device databases
Manage different aspects of the camera, such as flash and autofocus Platform: |
Size: 22185984 |
Author:王皓 |
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Description: 基于多特征融合的mean shift 目标跟踪算法 微机自带的摄像头可以正常跟踪-
The mean shift tracking algorithm based on multiple features fusion microcomputer built-in camera can be normal track Platform: |
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Author:黄杰 |
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Description: 本文详细介绍了基于DSP芯片的图像处理系统方案。数字信号处理（DSP）相对于模拟信号处理有很大的优越性，表现在精度高、灵活性大、可靠性好、易于大规模集成等方面。TMS320F2808是TI公司TMS320C2000系列的一款DSP数字图像处理芯片，主要面向数字控制和运动控制。TMS320F2808有高达100MHZ的处理频率，能高速处理多类图像，被广泛应用于面向数字控制和运动控制的图像处理。本项目主要以TI公司的 TMS320F2808单片机作为系统的控制核心，加以ATmega16单片机、高清摄像头和步进电机完成视频循迹小车的制作，，利用TMS320F2808芯片处理摄像头采集到的图像得到的数据，通过ATmega16控制步进电机的转动。-This paper introduces image processing system based on DSP chip. Digital signal processing (DSP) has great advantages compared with analog signal processing, performance in high accuracy, flexibility, reliability, ease of large-scale integration and so on. TMS320F2808 DSP TI TMS320C2000 series is a digital image-processing chip, mainly for digital control and motion control. TMS320F2808 frequencies as high as 100MHZ, capable to handle multiple image, is widely used in image processing for digital control and motion control. The projects mainly in TI TMS320F2808 as system control core, ATmega16 microcontroller, high definition video trail camera and stepper motor car production, using TMS320F2808 chip camera image data acquired by ATmega16 control of stepping motor rotation. Platform: |
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Author: |
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Search - multiple camera tracking