Journal ArticleDOI
An Advanced Motion Detection Algorithm With Video Quality Analysis for Video Surveillance Systems
TLDR
The analyses show that the proposed (PRO) method has a substantially higher degree of efficacy, outperforming other methods by an metric accuracy rate of up to 53.43%.Abstract:
Motion detection is the first essential process in the extraction of information regarding moving objects and makes use of stabilization in functional areas, such as tracking, classification, recognition, and so on. In this paper, we propose a novel and accurate approach to motion detection for the automatic video surveillance system. Our method achieves complete detection of moving objects by involving three significant proposed modules: a background modeling (BM) module, an alarm trigger (AT) module, and an object extraction (OE) module. For our proposed BM module, a unique two-phase background matching procedure is performed using rapid matching followed by accurate matching in order to produce optimum background pixels for the background model. Next, our proposed AT module eliminates the unnecessary examination of the entire background region, allowing the subsequent OE module to only process blocks containing moving objects. Finally, the OE module forms the binary object detection mask in order to achieve highly complete detection of moving objects. The detection results produced by our proposed (PRO) method were both qualitatively and quantitatively analyzed through visual inspection and for accuracy, along with comparisons to the results produced by other state-of-the-art methods. The analyses show that our PRO method has a substantially higher degree of efficacy, outperforming other methods by an metric accuracy rate of up to 53.43%.read more
Citations
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Journal ArticleDOI
A review on applications of activity recognition systems with regard to performance and evaluation
TL;DR: An overview of the applications of activity recognition systems is provided and a comparison of the existing methodologies which, when applied to real-world scenarios, allow to formulate research questions for future approaches are compared.
Book
Moving Object Detection Using Background Subtraction
TL;DR: This Springer Brief presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes that have applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition.
Journal ArticleDOI
Recent advances in image dehazing
Wencheng Wang,Xiaohui Yuan +1 more
TL;DR: This paper reviews the main techniques of image dehazing that have been developed over the past decade and innovatively divides a number of approaches into three categories: image enhancement based methods, image fusion based methods and image restoration based methods.
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False-positive-free SVD-based image watermarking
Jing-Ming Guo,Heri Prasetyo +1 more
TL;DR: This paper proposed a new SVD-based image watermarking by embedding the principal component of a watermark into the host image of block based manner using spread spectrum concept and demonstrates that the proposed method overcomes the false positive problem, achieves a high payload, and outperforms the former reliable SVD.
Journal ArticleDOI
Automated human behavior analysis from surveillance videos: a survey
TL;DR: This paper presents a survey on research on human behavior analysis with a scope of analyzing the capabilities of the state-of-art methodologies with special focus on semantically enhanced analysis.
References
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