Estimation of Frequency and Length of Pedestrian Stride in Urban Environments with Video Sensors

Abstract

An emphasis on active modes of transportation, that is, walking and cycling, has recently been renewed amid concerns for the environment and public health. However, the focus of research and practice that these modes have traditionally received is secondary to that received by motorized modes. As a consequence, the data on pedestrians (in particular, microscopic data) required for analysis and modeling are lacking. For instance, accurate data on the length of individual stride are not available in the transportation literature. This paper proposes a simple method to extract frequency and length of pedestrian stride automatically from video data collected nonintrusively in outdoor urban environments. The walking speed of a pedestrian oscillates during each stride; the oscillation can be identified through the frequency analysis of the speed signal. The method was validated with real-world data collected in Rouen, France, and Vancouver, Canada, where the root mean square errors for stride length were 6.1 and 5.7 cm, respectively. A method to distinguish pedestrians from motorized vehicles is proposed and used to analyze the 50 min of the Rouen data set to provide the distributions of stride frequency and length.

Potential for the dynamics of pedestrians in a socially interacting group

“…Furthermore, the quantitative description was significantly improved after calibration on all the available data [Eq. (47)]. According to us, these results show that the main features of the three-pedestrian group dynamics may be described on the basis of our first-neighbor model developed for the two-pedestrian case.…”

“…(4) are valid, and thus it will be important in future to compare the results of this paper with the behavior of pedestrian groups in natural environments at even lower densities, when such data will be available. 19 The time length of a pedestrian stride is roughly 0.5 s [47]. interaction between the pedestrians for a sufficiently long time (pedestrians are usually tracked and observed for tens of seconds).…”

“…Table III shows the average values and standard deviations of the main observables obtained using parameters calibrated on two-and three-pedestrian data [Eq. (47)], comparing them to those obtained using only two-pedestrian data [Eq. (37)] and to empirical data.…”

Pedestrian tracking algorithm based on Kalman filter and partial mean-shift tracking

“…Let us assume that in the d-dimensional space Rd there is a subspace with the bandwidth of h , and there are n sample points i x , i=1, ,n, and the multi-dimensional kernel estimation can be written as (1): (1) where ( ) K x denotes the kernel function. Let define meanshift vector as: (2) where…”

“…In terms of transportation, study of pedestrian and traffic modeling is focused primarily on the pedestrian stride frequency and length [1], the pedestrian safety [2,3], the number of pedestrians [4,5], the pedestrian tracking [6,7], the public service facilities service time [8] and other parameters were studied. In the domestic, due to the special national conditions, focusing all kinds of research on the gathered passenger flow and pedestrian safety, etc., such as the research for passenger traffic volume, traffic density and speed of passenger flow as well as the relationship between them [9] [10] [11] [12], for the research of the service time [13], and the pedestrian safety research [14].…”