NDLI: Inferring social roles in long timespan video sequence

Content Provider	IEEE Xplore Digital Library
Author	Jiangen Zhang Wenze Hu Yao, B. Yongtian Wang Song-Chun Zhu
Copyright Year	2011
Description	Author affiliation: School of Computer Science and Technology, Beijing Institute of Technology, China 100081 (Jiangen Zhang; Yongtian Wang) \|\| Department of Statistics University of California, Los Angeles, 90095, USA (Wenze Hu; Yao, B.; Song-Chun Zhu)
Abstract	In this paper, we present a method for inferring social roles of agents (persons) from their daily activities in long surveillance video sequences. We define activities as interactions between an agent's position and semantic hotspots within the scene. Given a surveillance video, our method first tracks the locations of agents then automatically discovers semantic hotspots in the scene. By enumerating spatial/temporal locations between an agent's feet and hotspots in a scene, we define a set of atomic actions, which in turn compose sub-events and events. The numbers and types of events performed by an agent are assumed to be driven by his/her social role. With the grammar model induced by composition rules, an adapted Earley parser algorithm is used to parse the trajectories into events, sub-events and atomic actions. With probabilistic output of events, the roles of agents can be predicted under the Bayesian inference framework. Experiments are carried out on a challenging 8.5 hours video from a surveillance camera in the lobby of a research lab. The video contains 7 different social roles including “manager”, “researcher”, “developer”, “engineer”, “staff”, “visitor” and “mailman”. Results show that our proposed method can predict the role of each agent with high precision.
Starting Page	1456
Ending Page	1463
File Size	1049828
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130422
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atomic layer deposition Surveillance Semantics Video sequences Hidden Markov models Trajectory Grammar
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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