A method for discriminating of pedestrian based on rhythm

Automated class identification of modes of travel in shared spaces: a case study from India

“…Such approach was adopted successfully for vehicles detection [9][10][11][12]. To address challenges in pedestrian detections, a fusion of classification techniques based on pattern analysis, stereo vision, shape detection as well as gait recognition are usually developed [13][14][15][16][17][18][19][20][21]. In [16] shape-based analysis is used along with trained classifiers in order to separate pedestrian from the background and other moving objects.…”

“…In [16] shape-based analysis is used along with trained classifiers in order to separate pedestrian from the background and other moving objects. In [17,18], gait patterns recognition was used to identify moving pedestrians. Similarly, Curio et al [21] combined shape analysis and gait recognition for a better pedestrian detection.…”

Automated cyclist data collection under high density conditions

“…For example, in [24], shape‐based analysis is used along with trained classifiers in order to separate pedestrians from background and other moving objects. In [25, 26], gait pattern recognition was used to identify moving pedestrians. Similarly, Curio et al [27] combined shape analysis and gait recognition for better pedestrian detection.…”

Gait Recognition Using Image Self-Similarity

“…For good surveys on this topic, see [11,33,34]. It is perhaps most closely associated with the subset of methods that analyze whole-body movement, for example, for human detection [12,35,36] and activity recognition [37,38,39,40].…”

“…The issue of determining whether a foreground blob indeed corresponds to a moving person is addressed in the feature measurement module. 1 Specifically, we use the cadence-based technique described in [35] which simply verifies whether the computed cadence is within the normal range of human walking (roughly 80-145 steps/m).…”