GitHub - lsfcin/haft: Hand and Face Tracker (HAFT) is a tool to track body parts based on the skin tone of the user. Here we use computer vision and a simple webcam to achieve real-time results with a flocks of feature approach.

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Hand and Face Tracker (HAFT) is a tool to track body parts based on the skin tone of the user. Here we use computer vision and a simple webcam to achieve real-time results with a flocks of feature approach.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.vs/Haft/v14		.vs/Haft/v14
Header		Header
Intermediate		Intermediate
Output		Output
Resource		Resource
Source		Source
.gitignore		.gitignore
Haft.VC.db		Haft.VC.db
Haft.sln		Haft.sln
Haft.v12.suo		Haft.v12.suo
Haft.vcxproj		Haft.vcxproj
Haft.vcxproj.filters		Haft.vcxproj.filters
Haft.vcxproj.user		Haft.vcxproj.user
LICENSE		LICENSE
LICENSE.txt		LICENSE.txt
README		README

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Voxar - Hand and Face Tracker (Haft)
================================================================================

Package contents:
                                   
    * haft 
		Contains the header files and code libraries 
		for creating native Haft-enabled applications.

    Note: the library package only includes the files for its respective OS versions
    and for the specified IDEs.
 
Dependencies:
	
	1. thirdparty/opencv/opencv-2.4.10

Usage:

	1. Include voxar_haft.h (available in the "Header" folder)
	2. Link to voxar_haft.lib (availabe in "Output/Debug" or "Output/Release" folder)
	3. Use the voxar_haft.dll (availabe in "Output/Debug" or "Output/Release" folder)

--------------------------------------------------------------------------------
Copyright © 2011-2015 Federal University of Pernambuco. All rights reserved.

Use subject to the terms of the license discrebed in the file LICENSE.txt.