Abstract
Image processing is mostly used for exploring image behaviour. There are several steps in image processing. Image acquisition, pre-processing, feature extraction, and classification are the processes used for the detection of human movement based on high-level feature extraction (HLFE), in which HLFE was used for feature extraction in this paper. This study proposed the use of background subtraction and frame difference. This research was conducted to analyse the difference of background subtraction and frame difference methods based on movement of human. Movement of human detected by using feature extraction were centroid image technique used. Furthermore, support vector machine (SVM) was used for classification.
Highlights
Nowadays, there are numbers of crime cases happened such as robbery, fighting and others.CCTV is installed in high crime cases area and human is assigned to monitor the situation [1]
Images were extracted to obtain the movement of a human in the frame of images based on background subtraction and frame difference sequences
Based on the results of high-level feature extraction (HLFE) of background subtraction and frame difference, the technique that is better for HLFE is ba ckground subtra ction
Summary
There are numbers of crime cases happened such as robbery, fighting and others. CCTV is installed in high crime cases area and human is assigned to monitor the situation [1]. Humans are prone to error, get tired and might missed out the crime event. This research will focus on detecting the human movement between walking and running by using background subtraction and frame difference. The problem in digital image processing is human required to monitor the behaviours of subjects in the usually complex scenes. Manual observation by human is not appropriate, as it requires attentive and careful concentration over a long period of time [2]. The automated surveillance system is needed to detect human behaviour. Comparison of human detection is applied to acknowledge human movement in digital image processin g.
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