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Package Summary

Tags No category tags.
Version 1.0.5
License LGPL
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ipa-rmb/cob_people_perception.git
VCS Type git
VCS Version indigo_dev
Last Updated 2019-03-14
Dev Status DEVELOPED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

Contains several packages for detecting and identifying faces, and detecting and tracking humans with RGB-D sensors or laser scanners. Detects persons through head and face detection and identifies the detected faces. The results are tracked over time to increase confidence. The system is optimized to be used with a Microsoft Kinect or Asus Xtion Pro Live sensor but could also handle different sensors as long as depth and color images are provided.

Additional Links

Maintainers

  • Richard Bormann

Authors

  • Richard Bormann
  • Thomas Zwölfer, Olha Meyer
README
No README found. See repository README.
CHANGELOG

Changelog for package cob_people_perception

1.0.5 (2019-03-14)

  • Merge pull request #62 from ipa-rmb/indigo_dev added libxi and libxmu as dependencies for ros build farm
  • cleaned up spaces/tabs
  • Merge pull request #30 from ipa-rmb/indigo_dev conversion to package format 2 and little fixes
  • cleaning and conversion to package format 2
  • Merge pull request #1 from ipa320/indigo_dev updates from ipa320
  • Merge pull request #27 from ipa-rmb/indigo_dev updates from rmb
  • fixed some wrong dependencies
  • updated package.xml information
  • Merge branch \'hydro_dev\' of github.com:rmb-om/cob_people_perception into rmb-om-hydro_dev
  • added body_tracker nodelet
  • merge with rmb-om
  • catkinizing
  • merge with rmb/indigo_dev
  • bugfixing cob_people_perception
  • merge with rmb-om
  • added packages to metapackage
  • moved the msgs package to cob_perception_common/cob_perception_msgs
  • Merge pull request #23 from ipa-rmb/groovy_dev_catkin package now transferred to groovy catkin: build and function tested successfully
  • catkinizing cob_people_perception
  • catkinizing cob_people_perception
  • Contributors: Florian Weisshardt, Richard Bormann, ipa-rmb, rmb-om

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged cob_people_perception at Robotics Stack Exchange

Package Summary

Tags No category tags.
Version 1.0.0
License LGPL
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ipa-rmb/cob_people_perception.git
VCS Type git
VCS Version hydro_dev
Last Updated 2015-05-08
Dev Status DEVELOPED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

Contains several packages for detecting and identifying faces, and detecting and tracking humans with RGB-D sensors or laser scanners. Detects persons through head and face detection and identifies the detected faces. The results are tracked over time to increase confidence. The system is optimized to be used with a Microsoft Kinect or Asus Xtion Pro Live sensor but could also handle different sensors as long as depth and color images are provided.

Additional Links

Maintainers

  • Richard Bormann

Authors

  • Richard Bormann
  • Thomas Zwölfer, Olha Meyer
README
No README found. See repository README.
CHANGELOG
No CHANGELOG found.

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged cob_people_perception at Robotics Stack Exchange

No version for distro kinetic. Known supported distros are highlighted in the buttons above.
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