Robust people counting system based on sensor fusion

A robust system for counting people using an infrared sensor and a camera

“…Dan et al [8] report a 98% accuracy, which is better than it is reported in this paper, for people counting by using both the depth and vision data of a 3D camera. It is obvious that it is possible to achieve higher success rates using different vision-based methods.…”

“…However, audience measurement may be provided more accurately if the number of people sitting in front of the screen is exactly known. Hence, several works have addressed the problem of estimating the number of people in a definite area, such as [7][8][9][10][11][12]. http In this paper, it is aimed to determine the number of people in front of a TV set using a pyro-electric infrared (PIR) sensor and a camera.…”

“…Dan et al [8] present a people counting system using a video-plus-depth-camera mounted on the ceiling. This system is based on fusing the depth and vision data provided by a camera, rather than fusing different type of sensors.…”

Detecting and tracking people in real time with RGB-D camera

“…Studies using these sensors (Luber et al, 2011;Zhang et al, 2013) have demonstrated the great value (both in accuracy and efficiency) of depth camera in coping with severe occlusions among humans and complex background. In existing works, depth cameras are often placed either vertically overhead (Dan et al, 2012;Bevilacqua et al, 2006) or horizontally at the same level as humans (Salas and Tomasi, 2011;Han et al, 2012). Occlusion is significantly reduced in the former case, details of the human body however cannot be well captured.…”

An ultra-fast human detection method for color-depth camera

“…An effective way to counter the challenges is to employ depth information [14,15,16,17]. The depth image produced by stereo rigs or depth cameras significantly simplifies the task of real-time people detection, but there are still difficulties in dealing with occluded subjects in horizontal front view images.…”