抽象的

Human Activity Recognition: Challenges and Process Stages

Mona Alzahrani, Salma Kammoun

With the wide range of applications in vision based intelligent systems, the attention of researchers in the computer vision field have attracted by image and video analysis technologies. Despite the diversity of computer vision researches, few literature reviews have been proposed to monitor people and recognize their activities. This paper focus in the literature reviews on the generic process stages of Human Activity Recognition (HAR) which include: data acquisition from the sensor, Preprocessing, Segmentation, Feature extraction and, training and classification. The challenges corresponding with activity recognition also will be listed.