METHOD OF DETECTING MOVING OBJECTS

• US 20090309966A1
• Filed: 01/12/2009
• Published: 12/17/2009
• Est. Priority Date: 06/16/2008
• Status: Abandoned Application

• Current Assignee: Huper Laboratories Co., Ltd.
• Original Assignee: Huper Laboratories Co., Ltd.
• Inventors: Lin, Yu-Feng, Chen, Chao-Ho
• Application Number:
  US12/352,586
• Publication Number:
  US 20090309966A1
• Time in Patent Office: Days
• US Class Current: 348/135
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30236 Traffic on road, railway or crossing
• CPC Class Codes: G06T 2207/30248 Vehicle exterior or interior
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/251 involving models

Abstract

A method for detecting moving objects includes: (a) capturing and establishing a background image; (b) capturing at least one current image; (c) transforming the background image and the current image from an RGB color format into an HSI color format; (d) subtracting the background image from the current image according to a background subtraction rule for generating at least one moving object; (e) performing a vertical scanning and a horizontal scanning on the moving object for generating a minimum bounding box of the moving object; (f) calculating a characteristic datum of the moving object according to the minimum bounding box; (g) tracking the moving object according to the characteristic datum with a Euclidean distance rule; (h) classifying the moving object according to the characteristic datum, the tracking result generated by step (g) and a minimum distance classifier.

Claims

1. A method of detecting moving objects comprising:

(a) capturing and establishing a background image;

(b) capturing at least one current image;

(c) transforming the background image and the current image from an RGB color format into an HSI color format;

(d) subtracting the background image from the current image according to a background subtraction rule for generating at least one moving object;

(e) performing a vertical scanning and a horizontal scanning on the moving object for generating a minimum bounding box of the moving object;

(f) calculating a characteristic datum of the moving object according to the minimum bounding box;

(g) tracking the moving object according to the characteristic datum with a Euclidean distance rule; and

(h) classifying the moving object according to the characteristic datum, the tracking result generated by step (g) and a minimum distance classifier.

2. The method of claim 1 further comprising:

updating the current image into the background image according to an updating rate when there are no moving objects in the current image.

3. The method of claim 2, wherein the updating rate is set to 0.05.

4. The method of claim 1 further comprising:

performing image enhancement for the moving object via a morphological processing method.

5. The method of claim 1 further comprising:

performing image enhancement for the moving object via a noise removing method.

6. The method of claim 1 further comprising:

performing image enhancement for the moving object via a connect component labeling method.

7. The method of claim 1, wherein step (f) comprises calculating perimeter, location of centroid, and aspect ratio of the moving object according to a boundary box of the moving object.

8. The method of claim 1, wherein step (h) comprises classifying the moving object into a car or a bike according to the characteristic datum, the tracking result generated by step (g) and a minimum distance classifier.

9. The method of claim 1, wherein step (g) comprises:

adding the moving object into an object list; and

comparing a plurality of current images captured in step (b) with the object list according to the characteristic datum and utilizing the Euclidean distance rule for tracking the moving object.

10. The method of claim 1 further comprising calculating the amount of the moving objects in the plurality of current images captured in step (b) according to a tracking result generated in step (g) and a classification result generated in step (h).

11. The method of claim 1 further comprising calculating the speed of the moving object according to a tracking result generated in step (g).

12. The method of claim 11, wherein calculating the speed of the moving object according to a tracking result generated in step (g) comprises calculating the speed of the moving object according to the number of the plurality of current images captured between a first location and a second location of the moving object, the distance between the first location and the second location, and the image capturing speed.