A computer vision approach for recognition of the engagement of pigs with different enrichment objects.
Chen ChenWeixing ZhuMaciej OczakKristina MaschatJohannes BaumgartnerMona Lilian Vestbjerg LarsenTomas NortonPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- computer vision
- object recognition
- pattern recognition
- object models
- action recognition
- recognition rate
- partially occluded objects
- three dimensional objects
- image matching
- computer graphics
- partial occlusion
- object detection
- object representation
- moving objects
- high level vision
- automatic recognition
- scene understanding
- object description
- recognition of partially occluded
- image understanding
- d objects
- recognition accuracy
- occluded objects
- signal processing
- recognition process
- image processing
- objects in cluttered scenes
- learning environment
- object representations
- activity recognition
- object segmentation
- range finder
- feature extraction
- vision system
- recognition algorithm
- recognizing objects
- optical flow
- image features
- computer vision algorithms
- object model
- image analysis
- object tracking
- gait recognition
- gesture recognition
- attribute values
- image registration