Pedestrians captured from real world surveillance cameras can often be in frontal view. This is true for surveillance cameras installed in bridges and corridors. Surveillance cameras in these environments are often oriented in the direction along the passage. In such a setting, many of the walking pedestrians would often appear to be approaching the camera. In this paper, we focus on the detect...

Driver fatigue detection plays an important role in intelligent transportation systems for driving safety. Therefore, it becomes an essential research issue these years. Recently, Horng and Chen proposed a real-time driver fatigue detection system based on eye tracking and dynamic template matching. In their work, the driver fatigue detection system consists of four parts: face detection, eye d...

A reconfigurable intelligent optical backplane architecture for parallel computing and communications is described. The backplane consists of a large number of reconfigurable optical channels organized in a ring with relatively simple point-to-point optical interconnections between neighboring smart-pixel arrays. The intelligent backplane can implement (l) dynamically reconfigurable connections...

Single-pixel quantum ghost imaging involves the exploitation of non-local photon spatial correlations to image objects with light that has not interacted them and, using intelligent scanning projective masks, reduces detection a single pixel. Despite many applications, extension complex amplitude remains challenging. Here, we reveal necessary interference for phase retrieval is naturally embedd...

In the past decades, sub-pixel mapping algorithms have been extensively developed due to the large number of different applications. However, most of the sub-pixel mapping algorithms are based on single-temporal images, and the results are usually compromised without auxiliary information due to the ill-posed problem of sub-pixel mapping. In this paper, a novel spatial-temporal sub-pixel mappin...

Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural production. Intelligent detection of plant diseases is an essential research topic as it may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. This work investigates ways to recognize the late blight disease from the analysis of tomato digital images, co...

The consistency of geospatial data is great significance for the application and updating geographic information in web maps. Due to multiple sources different temporal versions, tile maps usually meet inconsistency question across layers. This study tries develop a method detect this kind utilizing raster-based scaling approach. Compared with vector-based handling, can be directly available mu...

We present a system to detect and track moving vehicles based on the pixelwise classification approach. In this approach escapes some of the existing frameworks for detection vehicles in traffic monitoring systems. So many researchers and intelligent minds are introduces so many technique but not provided the accurate results. Proposed technique uses designed pixel wise classification method, c...