Change Detection Algorithms for Surveillance in Visual IoT: A Comparative Study

Abstract

The VIoT (Visual Internet of Things) connects virtual information world with real world objects using sensors and pervasive computing. For video surveillance in VIoT, ChD (Change Detection) is a critical component. ChD algorithms identify regions of change in multiple images of the same scene recorded at different time intervals for video surveillance. This paper presents performance comparison of histogram thresholding and classification ChD algorithms using quantitative measures for video surveillance in VIoT based on salient features of datasets. The thresholding algorithms Otsu, Kapur, Rosin and classification methods k-means, EM (Expectation Maximization) were simulated in MATLAB using diverse datasets. For performance evaluation, the quantitative measures used include OSR (Overall Success Rate), YC (Yule’s Coefficient) and JC (Jaccard’s Coefficient), execution time and memory consumption. Experimental results showed that Kapur’s algorithm performed better for both indoor and outdoor environments with illumination changes, shadowing and medium to fast moving objects. However, it reflected degraded performance for small object size with minor changes. Otsu algorithm showed better results for indoor environments with slow to medium changes and nomadic object mobility. k-means showed good results in indoor environment with small object size producing slow change, no shadowing and scarce illumination changes.

Authors and Affiliations

B. A. Akram, A. Zafar, A. H. Akbar, B. Wajid, S. A. Chaudhry

Keywords

Related Articles

Investigation of Internet of Things Handover Process for Information Centric Networking and Proxy Mobile Internet Protocol

IoT (Internet of Things) technically connects billions of entities to the Internet. The IoT is divided between the technology and the service itself. As a result, great efforts are needed to join data from many contexts...

Vibration Analysis of Cracked Composite Laminated Plate: A Review

Composites are one of the rapidly consuming materials due to their utmost attractive applications ranging from the aerospace to the agricultural products. The composite structures usually experience vibration during serv...

Reduction of Cracking and Shrinkage in Compressed Clay Beams during Drying

Uncontrolled evaporation of moisture from compressed clay beams can cause surface cracks, resulting in reduction of strength. This paper presents various treatments applied to clay beams during the process of casting, co...

Effect of Age and Environment on Strength of Old Baked Clay Bricks of Indus Valley Civilization

This paper presents results of experimental investigations conducted on old baked clay bricks of Indus Valley civilization of tenth century. The object of this study is to evaluate the effect of age and environmental con...

Investigating Multi-Array Antenna Signal Convergence using Wavelet Transform and Krylov Sequence

In the present world, wireless communication is becoming immensely popular for plethora of applications. Technology has been advancing at an accelerated rate leading to make communication reliable. Still, there are issue...

Download PDF file
  • EP ID EP252839
  • DOI 10.22581/muet1982.1801.07
  • Views 117
  • Downloads 0

How To Cite

B. A. Akram, A. Zafar, A. H. Akbar, B. Wajid, S. A. Chaudhry (2018). Change Detection Algorithms for Surveillance in Visual IoT: A Comparative Study. Mehran University Research Journal of Engineering and Technology, 37(1), 77-94. https://europub.co.uk/articles/-A-252839