Local Binary Pattern (LBP) was designed and has been widely used for efficient texture classification. LBP provides a simple and effective way to represent texture patterns. Uniform LBPs play an important role for LBP-based pattern/object recognition as they include majority of LBPs. On the other hand, Human detection based on Mahalanobis Distance Map (MDM) recognizes appearance of human based on geometrical structure. Each MDM shows a clear texture pattern that can be classified using LBPs. In this paper, we compute LBPs of MDMs. Chi-square as a measure is used for human detection based on uniform LBPs obtained. We show that our method using LBPs built on MDMs has a higher human detection rate and a lower false positive rate compared to the method merely based on MDMs.
Local Binary Patterns with Mahalanobis Distance Maps for Human Detection
2008 Congress on Image and Signal Processing ; 2 ; 520-524
01.05.2008
534013 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Control Cost and Mahalanobis Distance Binary Hypothesis Testing for Spacecraft Maneuver Detection
Online Contents | 2016
|Control Cost and Mahalanobis Distance Binary Hypothesis Testing for Spacecraft Maneuver Detection
Online Contents | 2016
|Directional Mahalanobis Distance and Parameter Sensitivities
British Library Conference Proceedings | 2016
|Directional Mahalanobis Distance and Parameter Sensitivities
SAE Technical Papers | 2016
|