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Description: We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
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Size: 176005 |
Author: 阳关 |
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Description: We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions. -We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
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Size: 176128 |
Author: 阳关 |
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Description: 人体识别跟踪程序，可自动计算识别人体，并根据运动趋势跟踪，重点设别头部和面部-Human identification and tracking procedures, can be automatically calculated to identify the body, and in accordance with the trend of tracking campaigns, the focus for other head and facial
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Size: 2365440 |
Author: yuanxh |
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Description: STEREO-BASED ELLIPTICAL HEAD TRACKING-A novel algorithm for head-tracking based on stereo is
presented in this paper. Employing stereo vision makes the
tracker robust to many factors such as clutter, color and lighting
variations, that affect contemporary head trackers
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Size: 423936 |
Author: x |
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Description: 本文研究的是设计一个控制系统，用固定在云台上的摄像头来跟踪运动目标。具体包括硬件设计和软件编程。利用计算机、摄像机、图像采集卡、步进电机驱动器和步进电机等硬件设备设计一套视觉自动跟踪系统，利用VC++实现上位机串口通信程序；利用KeilC51实现下位机的控制功能-This paper is to design a control system, using a fixed camera in the head Yuntai tracking moving targets. Including hardware design and software programming. The use of computers, cameras, frame grabbers, stepper motor and stepper motor drives and other hardware to design a visual tracking system, using VC++ realization of PC serial communication procedures use KeilC51 lower the achievement of the control machine
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Author: 杨俊 |
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Description: Deaf people use facial expressions a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade - Lucas - Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.-Deaf people use facial expressions as a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade- Lucas- Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.
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Size: 189440 |
Author: Ng Jack |
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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.
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Size: 944128 |
Author: kaw |
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Description: Head Movement Tracker
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Size: 722944 |
Author: hctuan |
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Description: 本项目旨在制作一个用于第一人称视角(FPV)遥控飞行的头部姿态追踪系统。系统利用惯性测量单元测量头部运动姿态，生成相应的舵机驱动信号，利用遥控发射器传输到遥控飞机，驱动摄像云台跟随头部运动，达到模拟第一人称飞行的目的。
系统采用ATmega328 MCU；利用 BMA180 三轴加速度传感器、ITG3200 三轴角速度传感器、HMC5883 三轴磁场传感器组成 9 自由度测量单元；通过 1602 LCD 直观显示控制菜单。系统软件基于 Arduino，采用方向余弦矩阵 (DCM) 进行姿态解算。
系统特性
支持三轴云台跟踪
直观的姿态显示和设置菜单
支持外部 PPM 合成和内部 PPM 合成
云台舵机通道可调
可调整舵机运转方向、中立点、运行速度和行程
作者
斑斑，Hazy-This project aims to produce a head pose tracking system for the remote control flight of the first-person view (FPV). The system uses inertial measurement unit to measure head movements posture, generates the corresponding servo drive signals, using the remote control transmitter transmitted to the remote control aircraft, drive the camera head to follow head movements to achieve the purpose of the simulation of first-person flight. Using ATmega328 MCU the BMA180 triaxial acceleration sensor, ITG3200 triaxial angular rate sensor, HMC5883 three-axis magnetic field sensor is composed of nine degrees of freedom measurement unit by 1602 the LCD and intuitive control menu is displayed. The system software is based on the Arduino, the direction cosine matrix (DCM) for the attitude solution. The system features intuitive gesture to support the three-axis head tracking display and setup menu to support the running direction of the external PPM synthesis, and the steering gear of the interna
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Size: 50176 |
Author: szinc |
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Description: This function reads the images of head. The basic steep to start tracker
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Size: 1024 |
Author: Tewodros |
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Description: A simple file suite. installing it on a subdomain on server is a way to get it working. example s1.example-domain.com
it gives a cool look on file addresses and also tracks each download if somebody includes a tracker. basically if someone includes an ip logger into the head, every download can be tracked via IP. It s also more than that. download url looks like the following example:
http://s1.something-example-site.com/?filename.zip
When removing ? from url, it doesn t give download headers, it just outputs the file as a text.
Enjoy and have fun.
Also it comes with a simple file up-loader.
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Size: 3072 |
Author: MrKenkadze27 |
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Description: crazyflie python源码
Theseankelly, from the community, has started a Windows client for Crazyflie 2.0. It connects Crazyflie using bluetooth low energy and works both on phone and on PC running windows. Last week, he transferred the source code repos in the Bitcraze github so that it can have more visibility. We plan to eventually released it in the Windows store, but first it needs to have a little bit more features :-). To this end we have created a milestone on GitHub and have filled a couple of tasks. The plan is to get to a minimum set of functionalities. That for, we will focus on phone support first but if you are interested in PC support do not hesitate to say so and push tickets for it (gamepad support and configuration is the first thing I can think about for desktop support).
Last week Fred released a new version of the Android client. The outstanding new feature is a support of the LED and Buzzer decks when using Crazyradio! It means that you can now change the light effects and play sounds on the Crazyflie from the phone. This is even better because it means that the Android client code is now able to access the param subsystem and soon the log subsystem: this will allow for much more interactions in the future (like access to advanced Crazyflie settings and supporting more decks). The support of decks using BLE and more are on going so stay tuned and if you have any functionality request please head to the GitHub ticket tracker.
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Size: 611584 |
Author: lwf111111 |
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