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People Detection and Recognition using Gait for Automated Visual Surveillance

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Academic year: 2020

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Figure

Figure 1: Tracking Multiple Objects (a) Frame from a VideoSequence. (b) Layer 1: Moving Vehicle (c) Layer 2: WalkingPerson (d) Layer 3: Walking Person
Figure 2: The Corners Proximity Images for : (a) SingleWalking Person, (b) Group of People, (c) Moving Vehicle
Figure 4: Experimental Results for Handling Occlusion : (a)Tracking During Occlusion. (b) Tracking recovery results ofthe walking subject after occlusion.
Figure 7: Joints Extraction for Indoor Data.
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