HMM-Based Abnormal Behaviour Detection Using Heterogeneous Sensor Network - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2011

HMM-Based Abnormal Behaviour Detection Using Heterogeneous Sensor Network

Hadi Aliakbarpour
  • Function : Author
  • PersonId : 1013279
Kamrad Khoshhal
  • Function : Author
  • PersonId : 1013280
João Quintas
  • Function : Author
  • PersonId : 1013281
Kamel Mekhnacha
  • Function : Author
  • PersonId : 849018
Julien Ros
  • Function : Author
  • PersonId : 1013282
Maria Andersson
  • Function : Author
  • PersonId : 1013283
Jorge Dias
  • Function : Author
  • PersonId : 988853


This paper proposes a HMM-based approach for detecting abnormal situations in some simulated ATM (Automated Teller Machine) scenarios, by using a network of heterogeneous sensors. The applied sensor network comprises of cameras and microphone arrays. The idea is to use such a sensor network in order to detect the normality or abnormality of the scenes in terms of whether a robbery is happening or not. The normal or abnormal event detection is performed in two stages. Firstly, a set of low-level-features (LLFs) is obtained by applying three different classifiers (what are called here as low-level classifiers) in parallel on the input data. The low-level classifiers are namely Laban Movement Analysis (LMA), crowd and audio analysis. Then the obtained LLFs are fed to a concurrent Hidden Markov Model in order to classify the state of the system (what is called here as high-level classification). The attained experimental results validate the applicability and effectiveness of the using heterogeneous sensor network to detect abnormal events in the security applications.
Fichier principal
Vignette du fichier
978-3-642-19170-1_30_Chapter.pdf (661.47 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01566541 , version 1 (21-07-2017)





Hadi Aliakbarpour, Kamrad Khoshhal, João Quintas, Kamel Mekhnacha, Julien Ros, et al.. HMM-Based Abnormal Behaviour Detection Using Heterogeneous Sensor Network. 2nd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2011, Costa de Caparica, Portugal. pp.277-285, ⟨10.1007/978-3-642-19170-1_30⟩. ⟨hal-01566541⟩
99 View
210 Download



Gmail Facebook X LinkedIn More