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...

Change blindness—our inability to detect changes in a stimulus—occurs even when the change takes place gradually, without disruption (Simons et al., 2000). Such gradual changes are more difficult to detect than changes that involve a disruption. In this experiment, we extend previous findings to the domain of facial expressions of emotions occurring in the context of a realistic scene. Even wit...

Change detection based on the comparison of independently classified images (i.e. post-classification comparison) is well-known to be negatively affected by classification errors of individual maps. Incorporating spatial-temporal contextual information in the classification helps to reduce the classification errors, thus improving change detection results. In this paper, spatial-temporal Markov...

Studies concerning the processing of natural scenes using eye movement equipment have revealed that observers retain surprisingly little information from one fixation to the next. Other studies, in which fixation remained constant while elements within the scene were changed, have shown that, even without refixation, objects within a scene are surprisingly poorly represented. Although this effe...

Although change blindness could suggest that observers represent far less of their visual world than their conscious experience leads them to believe, they could fail to detect changes even if they fully represent all details. Reports of implicit change detection in the absence of awareness are consistent with the notion that observers' representations are more complete than previously thought....

Moving object detection is essential in many computer vision systems as it is generally first process which feeds following algorithmic steps after getting camera stream. Thus quality of moving object detection is crucial for success of the whole process flow. It has been studied in the literature over the last two decades but it is still challenging issue because of factors such as background ...

given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...

In this paper, we propose a novel autonomous robot vision system that is applied to develop an intelligent artificial officemate. In order to operate as an officemate, it is very important for the officemate to be able to adapt to an environmental changes that can occur in an office. Novelty detection is one of essential functions for the officemate which adapts to changing environments. The pr...

a study of substantial anthropogenic related pollution in the coastal samut prakarn province (thailand) was carried out focusing on the bang pu nature reserve (remnant mangrove wetland) using a remote sensing (geospatial) technique. statistical regression models were developed between biochemical parameters of sample point and related reflectance data obtained from satellite imagery (landsat...