Detection and Segmentation of Clustered Objects by Using Iterative Classification, Segmentation, and Gaussian Mixture Models and Application to Wood Log Detection.
Christopher HerbonKlaus D. TönniesBernd StockPublished in: GCPR (2014)
Keyphrases
- gaussian mixture model
- foreground background separation
- complex background
- object segmentation
- image segmentation
- segmentation algorithm
- bounding box
- maximum likelihood criterion
- mixture model
- multiple objects
- object detection
- image classification
- maximum likelihood
- feature vectors
- pairwise
- background subtraction
- pattern classification
- speaker recognition
- training data
- classification accuracy
- training set
- support vector