An entropic criterion for minimum uncertainty sensing in recognition and localization. II. A case study on directional distance measurements.
Vincenzo CagliotiPublished in: IEEE Trans. Syst. Man Cybern. Part B (2001)
Keyphrases
- distance estimation
- measurement noise
- recognition rate
- object recognition
- localization error
- object recognition and localization
- recognition accuracy
- maximum distance
- measurement errors
- received signal strength
- automatic recognition
- distance measure
- pattern recognition
- feature extraction
- face recognition
- computer vision
- kullback leibler distance
- source localization
- recognition process
- localization method
- measurement error
- recognition algorithm
- test bed
- activity recognition
- action recognition
- case study
- handwritten characters
- minimum distance
- visual recognition
- directional features