Use of power law models in detecting region of interest
Pattern Recognition
Σ-Δ background subtraction and the Zipf law
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Color anomaly detection and suggestion for wilderness search and rescue
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
| Hi-index | 0.01 |
In this paper we will present a method for automatic detection of man-made objects in digital images representing natural environments. This method is based on statistical distribution of texture patterns in the image. This distribution is computed using Zipf's law. The image is divided into sub-frames and Zipf's distribution is computed for each sub-frame. Then the surfaces under Zipf's plots of the different sub-frames are compared in order to determine which sub-frame will contain an object. The sensitivity of this detection method to image resolution is also examined