Tasks #1395

Implement ROIExtractor

Added by S. Wrede over 11 years ago. Updated over 7 years ago.

Status:ClosedStart date:02/04/2013
Priority:NormalDue date:
Assignee:S. Wrede% Done:

0%

Category:-Estimated time:4.00 hours
Target version:-

Description

Implement a component which extract regions-of-interest patches (based on bounding boxes) out of a video stream, e.g., to generate training data for face or object recognizers. Initial implementation should at least work with rst.vision.Faces.

Implementation

  • should utilize the timesync library to fuse bounding box detections with the closest video image based on create timestamps (or using cause vector information)?
  • should write the patches to files.

Related issues

Copied to RSB OpenCV - Tasks #2697: Implement ROIExtractor New 02/04/2013

History

#1 Updated by S. Wrede over 11 years ago

  • Description updated (diff)
  • Estimated time set to 4.00

#2 Updated by S. Wrede over 11 years ago

Later on, think about integration with a tracking algorithm to ease labeling.

#3 Updated by J. Moringen almost 11 years ago

  • Target version changed from rsb-0.9 to rsb-0.10

#4 Updated by J. Moringen over 10 years ago

  • Target version changed from rsb-0.10 to rsb-0.11

#5 Updated by J. Moringen over 10 years ago

  • Target version changed from rsb-0.11 to rsb-0.12

#6 Updated by J. Moringen about 8 years ago

  • Target version changed from rsb-0.12 to rsb-0.14

#7 Updated by J. Moringen almost 8 years ago

  • Target version changed from rsb-0.14 to rsb-0.15

#8 Updated by J. Moringen almost 8 years ago

  • Target version deleted (rsb-0.15)

#9 Updated by J. Moringen over 7 years ago

#10 Updated by J. Moringen over 7 years ago

  • Status changed from New to Closed

Also available in: Atom PDF