Hierarchy_Ensemble | this software is an online multi-person tracking system
kandi X-RAY | Hierarchy_Ensemble Summary
kandi X-RAY | Hierarchy_Ensemble Summary
Hierarchy_Ensemble is a C++ library. Hierarchy_Ensemble has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
this software is an online multi-person tracking system. its features are listed as below:. a. it does not require calibration information. b. it uses single camera. c. it does not adopt any sliding window techniques or batch processing, i.e, it dose not look into the future. d. given detections, it can process about 7 fps of a 700x600 video on a modern machine. e. it can work with the generic hog detector in opencv. currently, it should work well with mid or low-density scenes captrured by a narrow angle camera at a high position from ground, which gives less perspective distortion (like the town center data set). for cameras put at a low position, this system may give poorer performance due to the lack of calibration information and severe occlusion in the scenes. platform: windows, linux prerequisite libraries: iconv, libxml2, opencv 2.3+. a. install all the dependencies specified above. b. put this source code in your local directory. c. use cmake to generate a project file or a make file. you may need to input the paths for the required libraries. (for the use of cmake, please check online resources.) d. build the generated project file or
this software is an online multi-person tracking system. its features are listed as below:. a. it does not require calibration information. b. it uses single camera. c. it does not adopt any sliding window techniques or batch processing, i.e, it dose not look into the future. d. given detections, it can process about 7 fps of a 700x600 video on a modern machine. e. it can work with the generic hog detector in opencv. currently, it should work well with mid or low-density scenes captrured by a narrow angle camera at a high position from ground, which gives less perspective distortion (like the town center data set). for cameras put at a low position, this system may give poorer performance due to the lack of calibration information and severe occlusion in the scenes. platform: windows, linux prerequisite libraries: iconv, libxml2, opencv 2.3+. a. install all the dependencies specified above. b. put this source code in your local directory. c. use cmake to generate a project file or a make file. you may need to input the paths for the required libraries. (for the use of cmake, please check online resources.) d. build the generated project file or
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Hierarchy_Ensemble has a low active ecosystem.
It has 9 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Hierarchy_Ensemble is current.
Quality
Hierarchy_Ensemble has no bugs reported.
Security
Hierarchy_Ensemble has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Hierarchy_Ensemble does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Hierarchy_Ensemble releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Hierarchy_Ensemble
Hierarchy_Ensemble Key Features
No Key Features are available at this moment for Hierarchy_Ensemble.
Hierarchy_Ensemble Examples and Code Snippets
No Code Snippets are available at this moment for Hierarchy_Ensemble.
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Vulnerabilities
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Install Hierarchy_Ensemble
You can download it from GitHub.
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