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Poaching for massive traditional medicine demands is the single greatest threat of extinction that looms over most wildlife especially the endangered tiger. One way to curb the poaching activity is to have tighter monitoring of the protected area by using camera traps. In this research, an embedded system with human detection features for anti-poaching application is proposed. The system uses a 4...
This paper investigates the performance of image features for vehicle classification. We focused on two important image features which have been widely used for vehicle detection. These features are the Histogram of Oriented Gradient (HOG) and the Gabor features. Although there are several literature proposed these features for vehicle classification, it is very hard to make a fair comparison from...
Locally normalized Histogram of Oriented Gradient (HOG) algorithm originally proposed by Dalal & Triggs presents excellent results for pedestrian detection. However, as the demand of accuracy and speed in real-time application increase, the detection speed and robustness of this method is becoming insufficient. Over the years, improvements have been proposed by different researchers in order to...
In this paper, we describe the development of a symmetry-based vehicle detection system. The system uses a single forward looking camera to capture the road scene. Vehicles are detected based on their edges and symmetrical characteristics. A method to extract the symmetric regions in the image using a multi-sized window and clustering technique is introduced. We hypothesize the vehicle’s locations...
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