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Learning natural disaster safety is important to equip human with awareness and preparedness if the disaster happens. Hurricane is an extreme and dangerous natural disaster which can cause loss of property and life. However, the disaster safety learning in Malaysia only covers flood, earthquake and fire. There is no safety learning to teach hurricane in Malaysia yet. Due to that, Malaysians are still...
Speech emotion recognition has been widely used in human computer interaction and applications. This paper has classified emotion into two classes: happy and angry. All the speech signal is preprocessed from Malay spoken speech database. Emotional information is obtained by applying two well-established acoustical features that are Mel Frequency Cepstral Coefficients (MFCC) and Short Time Energy (STE)...
This research presents a method for human detection at night in video surveillance camera. The process of detecting human at night is very challenging due to certain factors such as radiance, silhouette and low external light. A comparative study between three texture features that are Discrete Wavelet Transform (DWT), Histogram of Oriented Gradient (HOG) and Speeded Up Robust Feature (SURF) using...
Recent research in computer vision has shown that combining multiple features is an effective way to improve classification performance. Furthermore, the use of filters that convolve images at multiple filter responses can increase descriptions to images. The more distinctive the filter responses, the better it able to distinguish characteristics from other groups. Thus, this paper describes a combination...
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