IMAGE BASED PEDESTRIAN SENSING APPARATUS AND METHOD

• US 20140169624A1
• Filed: 05/08/2013
• Published: 06/19/2014
• Est. Priority Date: 12/14/2012
• Status: Abandoned Application

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: Jung, Ho Choul
• Application Number:
  US13/889,640
• Publication Number:
  US 20140169624A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition

Abstract

An image based pedestrian sensing apparatus and method that rapidly senses a pedestrian within an image by setting a region of interest (ROI) corresponding to a size of an object in a front image of a vehicle (i.e., an image taken from in front of the vehicle), extracting pedestrian candidates based on motion of the object, and sequentially comparing the extracted pedestrian candidates with pedestrian feature databases (e.g., databases for each posture of the pedestrian) according to a distance to judge the pedestrian.

Claims

1. An image based pedestrian sensing apparatus comprising:

one or more controllers including;

an image inputting unit configured to receive a front image of a vehicle;

a region of interest (ROI) setting unit configured to set an ROI corresponding to a size of an object in the image received through the image inputting unit;

a candidate extracting unit configured to extract pedestrian candidates based on motion of the object having the ROI set by the ROI setting unit; and

a pedestrian judging unit configured to compare the pedestrian candidates extracted by the candidate extracting unit with databases for each posture of a pedestrian to identify the pedestrian.

2. The apparatus according to claim 1, wherein the pedestrian judging unit includes at least one of a front database, a rear database, a left database, a right database, a left upper half database, and a right upper half database, as the databases for each posture of the pedestrian.

3. The apparatus according to claim 2, wherein the pedestrian judging unit is configured to compare the pedestrian candidates extracted by the candidate extracting unit with the front database, the rear database, the left database, the right database, the left upper half database, and the right upper half database in a cascade scheme.

4. The apparatus according to claim 1, further comprising a pedestrian tracking unit configured to track the pedestrian identified by the pedestrian judging unit.

5. The apparatus according to claim 4, wherein the pedestrian tracking unit is configured to track the pedestrian based on the number of feature points of the pedestrian within the ROI.

6. An image based pedestrian sensing method comprising:

receiving, by an image inputting unit within a controller, a front image of a vehicle;

setting, by an ROI setting unit within the controller, an ROI corresponding to a size of an object in the received front image;

extracting, by a candidate extracting unit within the controller, pedestrian candidates based on motion of the object having the set ROI; and

comparing, by a pedestrian judging unit within the controller, the extracted pedestrian candidates with databases for each posture of a pedestrian to identify the pedestrian.

7. The method according to claim 6, wherein the databases for each posture of the pedestrian includes at least one of a front database, a rear database, a left database, a right database, a left upper half database, and a right upper half database.

8. The method according to claim 7, wherein while identifying the pedestrian, the pedestrian candidates extracted by the candidate extracting unit are compared with the front database, the rear database, the left database, the right database, the left upper half database, and the right upper half database in a cascade scheme.

9. The method according to claim 6, further comprising tracking, by a pedestrian tracking unit, the pedestrian identified by the pedestrian judging unit.

10. The method according to claim 9, wherein in the tracking of the pedestrian, the pedestrian is tracked based on the number of feature points of the pedestrian within the ROI.

11. The apparatus according to claim 6, wherein the image based pedestrian sensing apparatus method is applied to vehicles selected from a group consisting of hybrid vehicles, electric vehicles, and fuel cell vehicles.

12. A non-transitory computer readable medium containing program instructions executed by a controller, the computer readable medium comprising:

program instructions that receive a front image of a vehicle;

program instructions that set an ROI corresponding to a size of an object in the received front image;

program instructions that extract pedestrian candidates based on motion of the object having the set ROI; and

program instructions that compare the extracted pedestrian candidates with databases for each posture of a pedestrian to identify the pedestrian.

13. The non-transitory computer readable medium according to claim 12, wherein the databases for each posture of the pedestrian includes at least one of a front database, a rear database, a left database, a right database, a left upper half database, and a right upper half database.

14. The non-transitory computer readable medium according to claim 13, wherein while identifying the pedestrian, the pedestrian candidates extracted by the candidate extracting unit are compared with the front database, the rear database, the left database, the right database, the left upper half database, and the right upper half database in a cascade scheme.

15. The non-transitory computer readable medium according to claim 12, further comprising program instructions that track the pedestrian identified by the pedestrian judging unit.

16. The non-transitory computer readable medium according to claim 15, wherein program instructions that track the pedestrian are based on the number of feature points of the pedestrian within the ROI.