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Summary: ROBUST CROWD COUNTING USING DETECTION FLOW
Junliang Xing1
, Haizhou Ai1
, Liwei Liu1
, Shihong Lao2
1
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China
2
Core Technology Center, Omron Corporation, Kyoto 619-0283, Japan
{xjl07,llw09}@mails.tsinghua.edu.cn, ahz@mail.tsinghua.edu.cn, lao@ari.ncl.omron.co.jp
ABSTRACT
Crowd counting which aims at obtaining the number of peo-
ple within a scene is an important computer vision task.
While most previous methods try to count people within one
frame, this paper addresses this problem using the detection
flow which is defined as a set of object detection responses
along the temporal video sequence. We argue that counting
based on detection flow provides a better way to estimate the
crowd size with following merits: 1) it can greatly alleviate
the common weakness of an object detector including miss
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