Читать книгу Handbook of Intelligent Computing and Optimization for Sustainable Development - Группа авторов - Страница 87

The dataset used to evaluate the proposed approach is a collection of video surveillance footage of an Indian garment store. The videos capture the interaction between the salesperson and the customers while selecting a garment for purchase. The videos are obtained from a CCTV camera in the store’s infrastructure, thus enabling us to work on real-life surveillance videos that have practical illumination conditions and background noise. The raw videos in the dataset have a resolution of 944 × 576 pixels. These videos were pre-processed to have a resolution of 1,920 × 1,080 pixels and a consistent frame rate of 30 FPS before computation. There a total of 33 videos in the dataset with an average duration of 1 minute. Among these videos, 22 videos contain a single customer, 8 videos contain two customers, and 3 videos contain three or more customers. Thus, the chosen dataset represents practical conditions and is adequately diverse. Figure 3.4 illustrates a few samples from the dataset.