Silhouette-Edge-Based Descriptor for Human Action Representation and Recognition

Abstract

Extraction and representation of postures and/or gestures from human activities in videos have been a focus of research in this area of action recognition. With various applications cropping up from different fields, this paper seeks to improve the performance of these action recognition machines by proposing a shape-based silhouette-edge descriptor for the human body. Information entropy, a method to measure the randomness of a sequence of symbols, is used to aid the selection of vital key postures from video frames. Morphological operations are applied to extract and stack edges to uniquely represent different actions shape-wise. To classify an action from a new input video, a Hausdorff distance measure is applied between the gallery representations and the query images formed from the proposed procedure. The method is tested on known public databases for its validation. An effective method of human action annotation and description has been effectively achieved.

Fall-Detection Algorithm Using 3-Axis Acceleration: Combination with Simple Threshold and Hidden Markov Model

“…The thresholds are determined from the receiver operating characteristics (ROC) curve from which both true positive The threshold values are determined when the specificity is best with a sensitivity of 100%. Instead of using all the events, only the fall-feature parameters of the events determined to be possible falls from the simple threshold method are applied to the HMM algorithm [29,[32][33][34] as shown in Figure 3 and Algorithm 2. First, the learning process of the HMM is performed for four types of ADL and three types of fall; all the values in the model matrices = ( , , ) of all the single parameters for activities of four types of ADL and three types of fall are calculated using Baum-Welch learning algorithm [29].…”

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

“…Developed from the 2D computer graphics that used points and lines to express images [15], 3D graphic rendering system has introduced the new concept of 3-dimensional space in the graphics and has been used to produce more realistic images. As the visual quality of the graphics improved thanks to the development of 3D graphic technology, the amount of the data used relatively increased as well, and consequently created a lot of problems with the duration of the calculation process.…”