Advantages and drawbacks of two common algorithms often employed in the moving target detection, background subtraction technique and frame distinction methodology are analyzed and compared during this paper. Then supported the background subtraction methodology, a BFSD target detection rule is projected. The background image used to process the next frame image is generated through superpositi...

Landmine problem is enormous and worldwide. Impulse ground penetrating radar (ImGPR) is one of the technologies that have been extensively researched as a means of improving landmine detection efficiency. We propose two methods to detect buried landmines. Both methods are based on background subtraction techniques to detect buried plastic landmines. The first method uses adaptive background est...

Background model updating is a vital process for any background subtraction technique. This paper presents an updating mechanism that can be applied efficiently to any background subtraction technique. This updating mechanism exploits the color and spatial features to characterize each detected object. Spatial and color features are used to classify each detected object as a moving background o...

Background subtraction is an important step used to segment moving regions in surveillance videos. Modern background subtraction techniques can handle gradual illumination changes but can easily be confused by rapid ones. In particular, varying illuminations cause significant changes in the representation of a scene in different spaces, which in turn results in the high levels of failure in suc...

Counting people and estimating their densities over a certain area is a fundamental task for many artificial intelligence systems. In this study, sub-difference images of curvelet transform are postulated as an efficient source for effective crowd estimation features. The new algorithm is described in detail in the form of a case study conducted at the Holy Haram in Madinah. The application of ...

This paper introduces a hybrid approach that is based on color information that utilizes background subtraction technique, a mask and K-Mean clustering algorithm. This hybrid approach efficiently removes artifacts caused by lightening changes such as highlight, reflection, and shadows of moving objects from segmentation. We first create a mask by assigning values to R, G and B channels utilizin...

In this paper, we propose a technique based on 3D information (also called depth or range) for the detection of humans. First, a background subtraction technique operates to detect the silhouettes of humans and objects moving in the scene. Then, a machine learning algorithm is used to predict if a silhouette annotated with depth matches a human silhouette or not. The complete method is designed...

In this paper we look at how camera networks can be used in the healthcare industry for remote patient monitoring. This type of network would be installed in the home and have the ability to alert officials should an emergency arise. A network of this kind could be of benefit to many, and in particular to the growing number of elderly citizens by helping them to maintain their independent lifes...

The system automatically recognize activities around protected area to improve safety and security by multiplexing hundreds of video streams in real time. Object tracking method has important role in real time environment because it enables applications such as Security and surveillance to recognize people and to provide better sense of security using visual information. A novel algorithm for u...

In this paper, we propose a robust video object extraction algorithm using background subtraction. The algorithm combines two statistical features of the background subtracted images to extract the objects. This method can produce satisfying results with pixel-wise precision. Furthermore, it is robust to the effects of camera noise and the changing of lighting condition. The proposed method is ...