Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras

Abstract

In this paper, we present a public dataset for tracking people across multiple cameras. This dataset con-sists of more than 22,000 images of 24 people which are captured by 16 cameras installed in a shopping mall \\Shinpuh-kan". All images are manually cropped and resized to 48 128 pixels, grouped into tracklets and added annotation. The number of tracklets of each person is 86. This dataset contains multiple tracklets in different directions for each person within a camera. To show the difficulty of the dataset, we evaluate it with some state-of-the-art methods.