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Today, surveillance systems play a key role in highly secured areas. The most common surveillance system, CCTV, produces a continuous image and has various problems such as high cost, need for continuous human intervention, and an inherent difficulty in locating and identifying the intruder due to the presence of obstacles. This paper proposes a scheme to classify a person's movement as intrusive...
This paper describes a topological SLAM system using a purely vision-based approach. This robot utilizes a GPU-based omnidirectional catadioptric stereovision system to perceive and plan its path in the environment. Subsequently, the omnidirectional images generated are used to incrementally build a database of image signatures based on the standard 2D Haar Wavelet decomposition. In order to maintain...
This paper focuses on ego-localization using in-vehicle cameras. We propose a 2D ego-localization method using streetscape appearance as a feature of image matching and the triangulation of matching results. The image sequences of two in-vehicle cameras are matched to a database that contains a sequence of streetscape images and their corresponding positions. First, the proposed method searches for...
Obtaining ground-truth motion for arbitrary, real-world video sequences is a challenging but important task for both algorithm evaluation and model design. Existing ground-truth databases are either synthetic, such as the Yosemite sequence, or limited to indoor, experimental setups, such as the database developed by Baker et al (2007). We propose a human-in-loop methodology to create a ground-truth...
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