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Title: :  Pedestrian Detection by Fusing 3D Points and Color Images
PaperId: :  3835
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-3835
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Koyal R. GangwalSVIT, Chincholi, Nashik
Shital JejurkarSVIT, Chincholi, Nashik
Priyanka TileSVIT, Chincholi, Nashik
Harshali PatilSVIT, Chincholi, Nashik

Abstract

Security Based
3D Sensor, Pedestrian Detection System, Surveillance System, Door Control System, Driving Assistant System.
In this project, a fusing approach of a 3D sensor and a camera are used to improve the reliability of pedestrian detection. The proposed pedestrian detecting system adopts DBSCAN to cluster 3D points and projects the candidate clusters onto images as region of interest (ROI). Those ROIs are detected by HOG (histograms of oriented gradients) pedestrian detector. Because the DBSCAN groups together 3D points and rejects outlier points correctly, the proposed system has a low false detection rate. The performance is also improved since the proposed system only detects the ROI instead of the whole color image. Recently, many approaches of pedestrian detection are proposed because the technology is widely used in many applications, e.g., surveillance system, door control system, driving assistant system and home care system. The pedestrian detection systems usually use variant perceptions which may be single sensor or multisensor systems. Generally, the acquired information from those sensors can be categorized as 2D information and 3D information. Some existing detection algorithms use only single type information to recognize pedestrians, e.g., camera. The most advantage of the color image based pedestrian detection is cheap because only a camera is needed. But, the main drawback is too false alarms caused by shadows or occlusion because of lacking depth information. Unlike the color image based pedestrian detection, the 3D information based pedestrian detection systems have more accuracy information which can be used to separate objects more exactly. But, recognition of high dimensional features takes more computation time. Furthermore, a Lidar is more expensive than a camera.

Citations

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IJARIIE Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. "Pedestrian Detection by Fusing 3D Points and Color Images" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 1151-1153
MLA Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. "Pedestrian Detection by Fusing 3D Points and Color Images." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 1151-1153.
APA Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, & Harshali Patil. (2017). Pedestrian Detection by Fusing 3D Points and Color Images. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 1151-1153.
Chicago Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. "Pedestrian Detection by Fusing 3D Points and Color Images." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 1151-1153.
Oxford Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. 'Pedestrian Detection by Fusing 3D Points and Color Images', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 1151-1153. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Pedestrian_Detection_by_Fusing_3D_Points_and_Color_Images_ijariie3835.pdf (Accessed : ).
Harvard Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. (2017) 'Pedestrian Detection by Fusing 3D Points and Color Images', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 1151-1153IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Pedestrian_Detection_by_Fusing_3D_Points_and_Color_Images_ijariie3835.pdf (Accessed : )
IEEE Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil, "Pedestrian Detection by Fusing 3D Points and Color Images," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 1151-1153, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Pedestrian_Detection_by_Fusing_3D_Points_and_Color_Images_ijariie3835.pdf [Accessed : ].
Turabian Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. "Pedestrian Detection by Fusing 3D Points and Color Images." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver Koyal R. Gangwal, Shital Jejurkar, Priyanka Tile, and Harshali Patil. Pedestrian Detection by Fusing 3D Points and Color Images. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 1151-1153. Available from: http://ijariie.com/AdminUploadPdf/Pedestrian_Detection_by_Fusing_3D_Points_and_Color_Images_ijariie3835.pdf
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