This weekly report discusses work on a human fall detection project using OpenCV. It describes creating a block diagram with 4 main blocks: capturing video, preprocessing, feature extraction, and classification. It also lists OpenCV API references and resources for computer vision libraries and documentation. The report outlines 3 tasks for the following week: inverting the video stream, using OpenCV image processing functions, and extracting features from the preprocessed video.

1. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT ] [March 29,2012]
Name-Surname
Chanwutsanpetvessakul
Student ID 54261506
INC 2B
4 (Human fall
Detection) block diagram
C Liberal OpenCV
fileLiberal

2. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT ] [March 29,2012]
file file Liberal
OpenCV API Reference
core. The Core Functionality
imgproc. Image Processing
highgui. High-level GUI and Media I/O
video. Video Analysis
calib3d. Camera Calibration and 3D Reconstruction
features2d. 2D Features Framework
objdetect. Object Detection
ml. Machine Learning
flann. Clustering and Search in Multi-Dimensional Spaces
gpu. GPU-accelerated Computer Vision
photo. Computational Photography
stitching. Images stitching
nonfree. Non-free functionality
Liberal
http://opencv.itseez.com/ lib
http://opencv.willowgarage.com/wiki/Welcome simple
code
Liberal
Liberal

3. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT ] [March 29,2012]
1.
libOpencv
invert
2.
libOpencv
imgproc.
3.
( )

4. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT ] [March 29,2012]
libOpencv
simple code