Silhouette Analysis-Based Gait Recognition for Human Identification

By Liang Wang, Tien-Ping Tan, Huazhong Ning, Weiming Hu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003

1,404 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/9580c5e11fedd346a63390f10da9fd1425cd8d2c

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

Human detection from images and videos: A survey (2016, background): “A straightforward potential task is human segmentation which is important for human shape registration [34], human gait analysis [164, 18] and action recognition [13, 153, 60] using human silhouette.”
Gait Components and Their Application to Gender Recognition (2008, background): “Many other efforts have also been spent on gait information processing [2], [4], [6], [9], [10], [12], [19], [22], [38], and since then, gait silhouette information has been widely utilized, e.g., in [8], [14], [21], [37], and [39].”
Improved gait recognition by gait dynamics normalization (2006, background): “The average of the rates reported in [8], [11], [12], [7], [13], [6], [14], [15], [16], [17], [18], [3] are plotted for different conditions. verification scenario, one is interested in deciding whether a given probe matches a hypothesized or claimed gallery identity, i.e., one-to-one match.”
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition (2021, methodology): “The silhouette extraction is mostly done using background subtraction [4].”
Rapid (2017, methodology): “In [25], authors use video camera to record walking process and then analyze silhouette to extract gait information from video frames.”
Inertial Sensor-Based Gait Recognition: A Review (2015, background): “be divided into (a) video-based [20], (b) floor-based [21] and (c) wearable sensor-based gait recognition approaches [22].”
A review of biometric technology along with trends and prospects (2014, methodology): “Table 4: Summary of behavioral modalities: Modality Feature Set Recognition Techniques Datasets Voice Spectrum, Glottal pulse features, pitch, energy, duration, rhythm, temporal features, phones, idiolects, semantics, accent, pronunciation, LPCC [204], MFCC [205], VQ [206-208], HMM [209], GMM [210, ”
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition (2007, methodology): “Currently, there are several successful representation models such as appearance-based models [6], [16], [19], [22], [29], [30], [34], [37], [40], stochastic statistical models [19], articulated biomechanics models [36], [3], [1], [7] in which a set of parameters describes the gait, and other…”
Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications (2014, background): “Since research on this type of analysis was first begun in the 19th century, it has centered on achieving quantitative objective measurement of the different parameters that characterize gait in order to apply them to various fields such as sports [1–3], identification of people for security purpose”
Human Identification Using Temporal Information Preserving Gait Template (2012, methodology): “Then, we normalize the entropy by the following formula: Once the contours are extracted, we propose a liner interpolation function to encode the spatial-temporal information to k channels.”
A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition (2006, methodology): “The method in [ 12 ] is used to segment human silhouette from image sequences.”
Robust view transformation model for gait recognition (2011, methodology): “We estimate the bounding box changes using the methods illustrated in [7, 2], since the aspect ratio of silhouette bounding box change periodically during person walk.”
The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition (2012, methodology): “The CASIA database, Dataset A [16] contains image sequences from three views and can be used for the analysis of the effect of the view angle on recognition performance.”
Person Reidentification Using Spatiotemporal Appearance (2006, methodology): “In this paper, we consider reidentification algorithms that rely on the overall appearance of the individual as opposed to ones that use passive biometrics such as face [16] and gait [ 22 ].”
A Study on Gait-Based Gender Classification (2009, methodology): “The method in [24] is used to segment human silhouettes from image sequences.”
Gait recognition: a challenging signal processing technology for biometric identification (2005, methodology): “Since several of the elements in the feature vectors, extracted using the techniques in the previous sections, usually contain information that does not contribute to the purpose of recognition, methodologies such as principal component analysis (PCA) [43], [24], [27] or linear discriminant analysis”
The humanID gait challenge problem: data sets, performance, and analysis (2005, methodology): “By reporting results on the same experiments, we have quantified improvement in performance of gait recognition algorithms [24], [26], [27], [30], [31], [32], [33].”