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A major cause of deaths among the elderly relates to accidental falls. Such falls are of particular medical concern to this population because they often result in severe injuries, since senior citizens usually live alone and cannot ask for help when accidents happen. In this paper, we propose a fall detection system with the help of a Gaussian mixture background model to build the background before...
This paper presents a virtual touchpad for smartphone with depth camera such as HTC One(M8). Hand gesture recognition is used as a new human machine interface for hand-held devices. This system consists of three modules: (1) open hand extraction, (2) active fingertip detection and tracking, and (3) hand gesture recognition. In the experiment, we show that our method can detect the active fingertips...
In application of human computer interaction, modeling of human vision is an approach seems appropriate but has not yet been accomplished. The main contribution in this paper is proposing an intuitive system for human computer interaction by modeling human vision using human sight position and human body part position, as well as an evaluation method to estimate the characteristic of the proposed...
In this study, we employed three PTZ cameras to monitor the security zone that different from the conventional surveillance system with some fixed camera. System computes the optimal scheduling score which enables to assign cameras to targets with the best quality and deal with the handoff tracking. The advantages of applying multiple PTZ cameras include 1) the spatial location can be used to efficiently...
There are two different people counting methods: (1) counting people across a detecting line in certain time duration and (2) estimating the total number of people in some region at certain time instance. This paper presents a new approach to count the number of people crossing a line of interest (LOI). First, the foreground object silhouettes are extracted described as blobs. Second, we generate...
This paper proposes an object-based video recording system, which can track and record the behavior of the moving objects under multiple distributed cameras with non-overlapping views. The object relationship among cameras is trained by using batch-learning procedure, and all probability matrixes are updated constantly for the long-term monitoring. While tracking the object moving across different...
The attention analysis of multimedia data is challenging since different models have to be constructed according to different attention characteristics. This paper analyzes how people are excited about the watched video content and proposes a content-driven attention ranking strategy which enables client users to iteratively browse the video according to their preference. The proposed attention rank...
This paper presents a real-time pointing arm tracking and identification system. It uses three cameras to track the pointing arm and identifies the pointed targets in 3-D space. The user make the arm pointing gesture at anyplace in the working space. Our system uses particle filtering and direct linear transformation (DLT) to track two 3-D points on the pointing arm and applies the epipolar geometry...
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