Human mobility monitoring in very low resolution visual sensor network.
This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power consumption. The core of our proposed system is a robust people tracker that uses low resolution videos provided by the visual sensor network. The distributed processing architecture of our tracking system allows all image processing tasks to be done on the digital signal controller in each visual sensor. In this paper, we experimentally show that reliable tracking of people is possible using very low resolution imagery. We also compare the performance of our tracker against a state-of-the-art tracking method and show that our method outperforms. Moreover, the mobility statistics of tracks such as total distance traveled and average speed derived from trajectories are compared with those derived from ground truth given by Ultra-Wide Band sensors. The results of this comparison show that the trajectories from our system are accurate enough to obtain useful mobility statistics.
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. Nyan.BoBo@telin.ugent.be.
Nyan Bo
NB
Bo
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. francis.deboeverie@ugent.be.
Francis
F
Deboeverie
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. meldib@telin.ugent.be.
Mohamed
M
Eldib
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. jguan@telin.ugent.be.
Junzhi
J
Guan
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. xxie@telin.ugent.be.
Xingzhe
X
Xie
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. jorge.nino@telin.ugent.be.
Jorge
J
Niño
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. dirk.vanhaerenborgh@telin.ugent.be.
Dirk
D
Van Haerenborgh
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. mslembro@telin.ugent.be.
Maarten
M
Slembrouck
Digital Communications, Gent University/iMinds, Gent 9000, Belgium. Samuel.VandeVelde@telin.ugent.be.
Samuel
S
Van de Velde
Digital Communications, Gent University/iMinds, Gent 9000, Belgium. Heidi.Steendam@telin.ugent.be.
Heidi
H
Steendam
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. peter.veelaert@ugent.be.
Peter
P
Veelaert
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. richard@kleihorst.com.
Richard
R
Kleihorst
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. Hamid.Aghajan@UGent.be.
Hamid
H
Aghajan
Image Processing and Interpretation, Gent University/iMinds, Gent 9000, Belgium. philips@telin.UGent.be.
Wilfried
W
Philips
D056044:Actigraphy / Q000295:instrumentation* / Q000379:methods; D003195:Computer Communication Networks / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D009043:Motor Activity / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods; D010781:Photography / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D016138:Walking / Q000502:physiology*; D051598:Whole Body Imaging / Q000295:instrumentation* / Q000379:methods