Fig 1.
WMSN Network with m multimedia nodes and s sensor nodes.
Fig 2.
Object oi has maximum size and minimum height hi as compared to object o′i with height h′i.
Fig 3.
Selecting objects for initial distance estimation.
Fig 4.
(a) Referential frame for estimating location of an object. (b) Case where object distance from the sink node is greater as compared to monitoring WMSN node CD,O > BD,N. (c) Case where object distance from the sink node is smaller as compared to monitoring WMSN node CD,O < BD,N. (d) Case where object distance from the sink node is equal to the monitoring WMSN node CD,O = = BD,N.
Fig 5.
Network Map.
Fig 6.
Variation of Object Size with Distance.
Table 1.
Distance estimation and associated error.
Table 2.
Estimation of object size and its associated error.
Fig 7.
PCA based localization.
Fig 8.
Regression based localization.
Fig 9.
Localization results by Oztarak. et. al. [28].
Fig 10.
Error in distance estimation between regression, PCA, and Oztarak. et. al. based localization methods.
Fig 11.
Normalized object sizes against distance (in feet).
Fig 12.
Distance estimation under received noisy measurement.
Fig 13.
Object orientation βT obtained at sink node from various image sources i.
Table 3.
Comparison of various techniques.
Table 4.
Localization comparison of different schemes.
Fig 14.
Final Result.