论文标题
在视觉人群计数中对人类凝视行为的研究
A Study of Human Gaze Behavior During Visual Crowd Counting
论文作者
论文摘要
在本文中，我们描述了有关人类在视觉人群计数中如何分配他们注意力的研究。使用眼动物，我们收集了人类参与者的凝视行为，他们的任务是计算人群图像中的人数。分析了三十名参与者在三十个人群图像上的收集的凝视行为，我们观察到了一些常见的视觉计数方法。对于一小群人群的形象，方法是列举人群中的所有人或一群人，这解释了不同人类参与者的固定密度密度图之间的高度相似性。对于大量人群的图像，我们的参与者倾向于专注于图像的一个部分，计算该部分中的人数，然后推断到其他部分。就计数准确性而言，与当前最新计算机算法的性能相比，我们的人类参与者在计数任务方面的工作不佳。有趣的是，有一种倾向于计算所有人群中人数的数量。凝视行为数据和图像可以从https://www3.cs.stonybrook.edu/~minhhoai/projects/crowd_counting_gaze/下载。
In this paper, we describe our study on how humans allocate their attention during visual crowd counting. Using an eye tracker, we collect gaze behavior of human participants who are tasked with counting the number of people in crowd images. Analyzing the collected gaze behavior of ten human participants on thirty crowd images, we observe some common approaches for visual counting. For an image of a small crowd, the approach is to enumerate over all people or groups of people in the crowd, and this explains the high level of similarity between the fixation density maps of different human participants. For an image of a large crowd, our participants tend to focus on one section of the image, count the number of people in that section, and then extrapolate to the other sections. In terms of count accuracy, our human participants are not as good at the counting task, compared to the performance of the current state-of-the-art computer algorithms. Interestingly, there is a tendency to under count the number of people in all crowd images. Gaze behavior data and images can be downloaded from https://www3.cs.stonybrook.edu/~minhhoai/projects/crowd_counting_gaze/.
