2019
DOI: 10.1109/tifs.2018.2870594
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Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera

Abstract: Frontal view gait recognition for people identification has been carried out using single RGB, stereo RGB, Kinect 1.0 and Doppler radar. However, existing methods based on these camera technologies suffer from several problems. Therefore, we propose a four-part method for frontal view gait recognition based on fusion of multiple features acquired from a Time of Flight (ToF) camera. We have developed a gait data set captured by a ToF camera. The data set includes two sessions recorded seven months apart, with 4… Show more

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Cited by 20 publications
(13 citation statements)
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“…• Microprocessor: Intel® Core™ i3-4030U CPU The computational cost analysis of the algorithms is based on the evaluation made by Tengku et al [35]. The algorithms are run 10 times and their maximum, minimum, standard deviations and averages are recorded.…”
Section: Time Complexity Of Algorithmsmentioning
confidence: 99%
“…• Microprocessor: Intel® Core™ i3-4030U CPU The computational cost analysis of the algorithms is based on the evaluation made by Tengku et al [35]. The algorithms are run 10 times and their maximum, minimum, standard deviations and averages are recorded.…”
Section: Time Complexity Of Algorithmsmentioning
confidence: 99%
“…El-Alfy et al [15] proposed a personal authentication method that captured the geometric properties of silhouette boundaries in an image by evaluating the contour curvature using gauss maps. Zulcaffle et al [16] presented a method that used images acquired by a 3D ToF camera. They extracted the silhouette of a person from the depth image and used multiple classifiers to identify the person, which switched the algorithm depending on the package's existence and the walking intensity.…”
Section: Background and Related Workmentioning
confidence: 99%
“…11,12 In reality, however, these methods rely heavily on the data collection area and require the camera to be placed at a certain height or distance to capture full gait sequences, which are only applicable in outdoor or wide indoor spaces, and not in applications such as a secure narrow corridor. 2,13 Attempts to resolve this dilemma have resulted in the development of frontal-view gait recognition methods.…”
Section: Introductionmentioning
confidence: 99%
“…Despite that much progress has been made for gait recognition, so far, most of the existing works only focus on the lateral-view gait recognition, since more spatial and temporal information can be observed in the sagittal plane 11 , 12 . In reality, however, these methods rely heavily on the data collection area and require the camera to be placed at a certain height or distance to capture full gait sequences, which are only applicable in outdoor or wide indoor spaces, and not in applications such as a secure narrow corridor 2 , 13 . Attempts to resolve this dilemma have resulted in the development of frontal-view gait recognition methods.…”
Section: Introductionmentioning
confidence: 99%