vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...

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background: the electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. objective: removing electrocardiogram contamination from electromyogram signals. methods: in this paper, the clean electromyogram signal, electrocardiogram artifact and...

Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...

Identifying objects of interest from a video sequence is a fundamental and essential part in many vision systems. A common method is to perform background subtraction. For automated surveillance systems, real-time background subtraction is especially important to ensure the performance of the systems. In this paper, we review various background subtraction algorithms in a binary hypothesis test...

A hybrid adaptive subtraction scheme is proposed. This hybrid scheme uses predictionerror filters as covariance operators within the filter-estimation step. This methods proves to be the most efficient when the noise and signal interfere. Although prediction-error filters are utilized, this technique is not a pattern-recognition technique: it simply tries to remove the correlated signal informa...

Background subtraction plays an important role in many computer vision systems, yet in complex scenes it is still a challenging task, especially in case of illumination variations. In this work, we develop an efficient texture-based method to tackle this problem. First, we propose a novel adaptive εLBP operator, in which the threshold is adaptively calculated by compromising two criterions, i.e...

Visual sensor networks (VSNs) have been attracting more and more research attention nowadays. Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. One of the simplest techniques for detection is background subtraction (BS) and frame difference, which identifies moving objects from the portion of a video frame that differs sign...