Statistical-learning-based object detection is an important topic in computer vision. It learns
visual representation from annotated exemplars to identify semantic defined objects in …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

The problem of human detection is to automatically locate people in an image or video
sequence and has been actively researched in the past decade. This paper aims to provide …

Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …

In video sequences, human action recognition is a challenging problem due to motion
variation, in frame person difference, and setting of video recording in the field of computer …

Background Weeds are a major cause of low agricultural productivity. Some weeds have
morphological features similar to crops, making them difficult to discriminate. Results We …

Texture is an important characteristic for many types of images. In recent years, very
discriminative and computationally efficient local texture descriptors based on local binary …

摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

Computer vision-based fire detection involves flame detection and smoke detection. This
paper proposes a new flame detection algorithm that is based on a saliency detection …

Local binary patterns of more bits extracted in a large structure have shown promising
results in visual recognition applications. This results in very high-dimensional data so that it …