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The research is focused on depth evaluation using a single camera. 2D images can be used for finding the depth of a particular object in the image. Algorithm uses marker(s) to update its orientation and to compute the distance. Initially the shape of the marker is fixed and is pre-defined but as the research expands improvements will make the algorithm to work autonomously using everyday objects as...
The synchronicity is a strong restriction that in some cases of wide applications can be difficult to obtain. This paper studies the methodology of using a non synchronized camera network. We consider the cases where the frequency of acquisition of each element of the network can be different. The following work introduces a new approach to retrieve the temporal synchronization from the multiple unsynchronized...
This paper presents a method to detect, track and count people which pass a confined space using the latest 3D Time-of-Flight (ToF) sensor technology. A slicing algorithm is employed and a novel method is proposed which derives the slicing level based on the probability density function and histogram respectively. It was found that the algorithm, exploiting the data of one sensor only, works very...
This paper presents a method of pedestrian counting using an IR line laser. In the proposed method, only reflection of IR line laser onto pedestrians is obtained using an IR filter. Hence acquisition of moving object images is extremely simple and reliable compared to other vision-based method. The number of pedestrians is counted using simple blob analysis and their moving directions are obtained...
This paper presents an improved relaxation algorithm for image matching. The original relaxation algorithm includes two steps: rough matching and accurate matching. It usually is time-consuming for most practical problems. With the improved relaxation algorithm proposed in this paper, the number of matching points that take part in the next pass iteration can be reduced, consequently, the algorithm...
This paper presents a method of classifying human gait in an invariant manner based on silhouette comparison. A database of artificially generated silhouettes is created representing the three main types of gait, i.e. walking, jogging, and running. Silhouettes generated from different camera angles are included in the database to make the method invariant to camera viewpoint and to changing directions...
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