Opencv

install opencv

 * opencv install script
 * https://gist.github.com/melvincabatuan/bcc21c9523b461e236fa889e556b2fe9 opencv install with cmake
 * https://gist.github.com/CorcovadoMing/ad7fde186287af261694

blas and lapack
Blas and lapack

Itseez
https://github.com/Itseez/gtc-2015-lab Jetson tegra cpu

https://github.com/Itseez/opencv_for_ios_book_samples opencv book coding examples solution

http://elinux.org/Main_Page  embedded linux and boards supported

http://roboticssamy.blogspot.com robot balancing

v4l

 * sudo apt-get install v4l-utils
 * http://www.techytalk.info/webcam-settings-control-ubuntu-fedora-linux-operating-system-cli/

Authors

 * Derek Molloy beaglebone code v4l-tcl.c file scripting usb camera, mpeg4 compression etc.
 * pyimagesearch.com
 * https://github.com/tesseract-ocr/tesseract/wiki OCR

Yuki nagai
https://www.youtube.com/watch?v=pj-QuE6pdEQ The red bounding box is "Boosting" result, green is "MIL", blue is "TLD", black is "Medianflow", and pink is "KCF". Tracking code: Dataset and evaluation code: Evaluation results:
 * http://cvlab.hanyang.ac.kr/tracker_benchmark/
 * https://arxiv.org/abs/1404.7584 High-Speed Tracking with Kernelized Correlation Filters
 * https://github.com/yuukicammy/opencv_tracker_performance_test/blob/master/opencv_tracker/dev/src/main_opencv_trackeing.cpp
 * https://sites.google.com/site/trackerbenchmark/benchmarks/v10
 * https://github.com/yuukicammy/opencv_tracker_performance_test/tree/master/tracker_benchmark_v1.0/figs/overall/OpenCV
 * https://github.com/yuukicammy/struck  Struck: Structured Output Tracking with Kernels http://www.samhare.net/research/struck
 * http://eigen.tuxfamily.org

papers
https://www.researchgate.net/publication/279057771_Expert_Video-Surveillance_System_for_Real-Time_Detection_of_Suspicious_Behaviors_in_Shopping_Malls

http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm Real-time Compressive Tracking and c++ code

forum questions
http://stackoverflow.com/questions/28619037/opencv-where-is-tracking-hpp itzees repository

http://stackoverflow.com/questions/36254452/counting-cars-opencv-python-issue?rq=1 python counting cars by http://stackoverflow.com/users/3962537/dan-ma%c5%a1ek

Neural nets
https://github.com/udacity/CarND-TensorFlow-L2 Udacity self driving car, open source.

Data sets
Neural data sets Neural network training is done on data sets of images.

counting cars
Chris Dahms, https://github.com/andrewssobral/vehicle_detection_haarcascades Andrew Sorbal

links

 * https://www.youtube.com/watch?v=QPgqfnKG_T4 militarizing backyard with python and machine vision talk(water jetting squirrels). Something a bit more effective on intruders see Net gun, http://sasecurity.wikia.com/wiki/Category:Guns
 * https://pythonprogramming.net/search/?q=opencv python tutorial on opencv by sentdex youtube
 * OpenTLD cppmta preferred over opentld
 * simplecv vision framework for vision applications, acccess OpenCV  without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy.
 * https://ukoethe.github.io/vigra/ Vision with Generic Algorithms library
 * Ffmpeg, Libccv, Segnet clone of caffe detects pets, people,cars
 * Caffe berkeley vision, OpenKcam ,
 * GPU Nvidia Tegra jetson APU(cpu/gpu) platform for embedded vision, robotics.
 * Dlib library C++ vision library like caffe and opencv
 * KLT vision, Slam lsd slam 2013 journal paper with github code
 * Embedded vision alliance
 * https://groups.google.com/forum/?hl=en#!forum/visual-tracking Google image groups.
 * https://www.researchgate.net/post/Which_is_the_best_tracking_algorithm_available which algorithm to use.
 * http://deeplearning.net/software/theano/introduction.html Theano gpu
 * Thine image firm