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Zdenek Kalal

Zdenek Kalal
TLD has been developed by Zdenek Kalal during his PhD thesis supervised by Krystian Mikolajczyk and Jiri Matas. The main contributions of TLD have been presented at international computer-vision conferences. For his work on TLD, Zdenek Kalal has been awarded the UK ICT Pioneers 2011. OpenTLD TLD has been released under GPL v3.0. You can download the source code, read installation guide and participate in a discussion group. Commercial Version A license has to be purchased for using TLD in closed source projects. (c) 2013 Zdenek Kalal

http://info.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html

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Object tracking with Pi camera Dear all , I (as a Pi noobie but interested in electronics) would like to make use of the Pi camera board to track objects.(objects are about 4-5 pixels in size)I got the board up and running , played around with raspistill , raspivid and raspiyuv.Since i would like to track the velocity as fine as possible, i would like to shoot at a very high framerate ( 60fps).Only way i found out to do this was with the use of recording video at 60fps with 720p , and then cut frames apart by secondary software. I do however experience some issues with this.First of all , with standard settings , the image is quite shaky, even tough the camera itsself is stable. I can use the command -vstab to stabilize which works for now, but i wonder if i don't 'postprocess' the frames in such a way i distort them . Secondly I have troubles with the exposure times.

Building robots instead of sleeping Home Projects Shop Forums Download About JRO Other Overview I built Eye-Bo so that I could compete in the annual line-following contest that Chibots holds each year. They actually run two different line-following contests, basic and advanced. I competed in both, and won the advanced line-following contest both times I entered. The pictures of EyeBo 2 can be seen below. OpenTLD Disclaimer: This project is now old and will no longer be updated. Please have a look at our new tracker CMT instead. On this page you can find a C++ implementation of OpenTLD that was originally published in MATLAB by Zdenek Kalal. OpenTLD is used for tracking objects in video streams. What makes this algorithm outstanding is that it does not make use of any training data. This implementation is based solely on open source libraries, meaning that you do not need any commercial products to compile or run it.

Cheat Sheet - Physical Computing with Raspberry Pi Basic GPIO Access Setup Raspberry Pi GPIO pin layout. Diagram from eLinux. At the start of your file include: import RPi.GPIO as GPIO Webcam into Growl CCTV camera! Got any old webcam's hanging around like I did? Need a project to entertain you for a few hours? Check out my guide to convert a standard webcam into a motion sensitive, growl/prowl notifying CCTV Camera. Parts list: TLD Vision Our technology is based on TLD, an award winning algorithm well known in computer vision community and industry. TLD integrates research in object tracking, machine learning and object detection into a real-time process. How does it work? Tracking estimates the object motion. Tracking in OpenTLD aka Predator — Jay Rambhia As my Google Summer of Code 2012 project, I have to port OpenTLD to python using OpenCV and SimpleCV. OpenTLD a.k.a. Predator was first made by Zdenek Kalal in MATLAB.

Easy Eye: SiLabs 8051 + Camera - ChipSight Image capture and 60fps color object targeting with an 8-bit microprocessor and a CMOS camera. This is a simple demo to illustrate a larger idea: computer vision with limited resources enables emerging applications for consumer products. The goal is to prove the ability of the F360 to perform machine vision tasks. The C8051F360 syncs to video from a digital camera, reads pixel values, makes decisions about objects in the scene, communicates by serial port, and drives displays or servos by GPIO. Microcontroller: SiliconLabs C8051F360 Camera: Omnivision OV7720 The serial port connection to the host PC is not shown, it wasn’t connected in this photo. Photogrammetry Photogrammetry is an estimative scientific method that aims at recovering the exact positions and motion pathways of designated reference points located on any moving object, on its components and in the immediately adjacent environment. Photogrammetry employs high-speed imaging and the accurate methods of remote sensing in order to detect, measure and record complex 2-D and 3-D motion fields (see also SONAR, RADAR, LiDAR etc.). Photogrammetry feeds the measurements from remote sensing and the results of imagery analysis into computational models in an attempt to successively estimate, with increasing accuracy, the actual, 3-D relative motions within the researched field. Its applications include satellite tracking of the relative positioning alterations in all Earth environments (e.g. tectonic motions etc), the research on the swimming of fish, of bird or insect flight, other relative motion processes (International Society for Photogrammetry and Remote Sensing).

Building robots instead of sleeping Home Projects Shop Forums Download About JRO Other NEW version 1.1 of the hardware has been completed! Improvements in v1.1: Frame-rate is increased from 27 frames/sec to the full 30 frames/sec The OV6620 image sensor crystal now supplies the clock to the AVR mega8 Auto-baud of the user-interface serial port will be supported soon...

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