Crowd Estimation Using Histogram Model ClassificationBased on Improved Uniform Local Binary Pattern

Crowd Density Estimation Using Local Binary Pattern Based on an Image

This paper presents a novel approach for texture classification, generalizing the well-known local binary patterns (LBP). In the proposed approach, a local binary pattern (LBP) operator offers a systematic way of analyzing textures. It has a simple theory and combines properties of structural and statistical texture analysis methods. LBP approach is used to find crowd density. This approach est...

Multi-scale local Binary Pattern Histogram for Face Recognition

Scene Classification Using Pyramid Histogram of Multi-Scale Block Local Binary Pattern

Pyramid Histogram of Multi-scale Block Local Binary Pattern (PH-MBLBP) descriptor for recognizing scene categories, is presented in this paper. We show that scene categorization, especially for indoor and outdoor environments, requires its visual descriptor to process properties that are different from other vision domains (e.g., SIFT descriptor used for object categorization). Our proposed PH-...

Smoke Detection using Local Binary Pattern

To realize quick and robust fire detection with image information of real scenes, smoke is a key feature information in detection methods. Since smoke does not keep stationary shape, it is difficult apply ordinal image processing techniques such as the edge or contour detection directly. Image information of smoke is also affected from its environmental conditions such as illumination changes a...

Image Retrieval using Quantized Local Binary Pattern

Image retrieval is one of the main topics in the field of computer vision and pattern recognition. Local descriptors are gaining more and more recognition in recent years as these descriptors are capable enough to identify the unique features, which suitably and uniquely describe any image for recognition and retrieval. One of the popular and efficient frame works for capturing texture informat...