Synergizing Appearance and Motion With Low Rank Representation for Vehicle Counting and Traffic Flow Analysis

Vehicle counting and traffic flow parameter estimation for dense traffic scenes

“…After vehicle counting, some methods [5, 6, 25] further did the estimation of traffic flow parameters. A traffic flow estimation model was proposed based on ROI counting and tracking for aerial videos [6, 9]; yet, the volume was not directly estimated by the LOI‐counting results.…”

“…A traffic flow estimation model was proposed based on ROI counting and tracking for aerial videos [6, 9]; yet, the volume was not directly estimated by the LOI‐counting results. Using the number and speed of crossing vehicles, Gao et al [5] estimated traffic flow changes over time during a week. Zhang et al [25] only performed some traffic flow analysis based on ROI results.…”

“…For the three traffic parameters (volume, speed, density), most of the existing counting methods can only estimate one or two traffic parameters [5], and often indirectly estimate the remaining parameters based on the relationship among these three parameters [6]. In dense traffic scenes, the density can be estimated by the detection methods [7, 8].…”

Mining the spatio‐temporal pattern using matrix factorisation: a case study of traffic flow

“…However, most of those works extract the spatio‐temporal relation, which is unexplainable as a hidden feature for final purpose. In addition, matrix factorisation methods are common solution for traffic pattern recognition research studies [15–17]. Those methods decompose the original data matrix into several factor matrices representing different meanings for traffic analysis.…”

Data Feature Analysis of Non-Scanning Multi Target Millimeter-Wave Radar in Traffic Flow Detection Applications

“…Real-time road traffic parameter collection and accurate road congestion evaluation are the prerequisites for applying better traffic congestion avoidance strategies to improve the traffic flow [ 1 , 2 ]. The traditional traffic parameter detection methods include: (1) the magneto-electric induction detecting method, in which the section flow data is acquired by loop detectors or geomagnetic detectors placed underground at a certain road section [ 3 , 4 , 5 ]; (2) the floating vehicle method, which extracts traffic parameters from the trajectory data by intelligent onboard devices, such as bus floating data and taxi floating data [ 6 , 7 ]; (3) the video image detecting methods, for example, the traffic parameter collection by electronic-police camera or using the unmanned aerial vehicles (UAV) [ 8 , 9 ]; and (4) the radar detecting methods.…”