ON-CHIP CAMERA SYSTEM FOR MULTIPLE OBJECT TRACKING AND IDENTIFICATION

• US 20090097704A1
• Filed: 10/10/2007
• Published: 04/16/2009
• Est. Priority Date: 10/10/2007
• Status: Abandoned Application

• Current Assignee: Aptina Imaging Corporation (ON Semiconductor Corporation)
• Original Assignee: Micron Technology, Inc.
• Inventors: Baer, Rick, Smith, Scott, Savidge, Laura
• Application Number:
  US11/869,806
• Publication Number:
  US 20090097704A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06V 10/24 Aligning, centring, orientation detection or correction of the image
• CPC Class Codes: H04N 23/61 based on recognised objects
• CPC Class Codes: H04N 25/441 by reading contiguous pixels from selected rows or columns of the array, e.g. interlaced scanning
• CPC Class Codes: H04N 25/531 by controlling rolling shutters in CMOS SSIS

Abstract

Apparatus and methods provide multiple object identification and tracking using an object recognition system, such as a camera system. One method of tracking multiple objects includes constructing a first set of objects in real time as a camera scans an image of a first frame row by row. A second set of objects is constructed concurrently in real time as the camera scans an image of a second frame row by row. The first and second sets of objects are stored separately in memory and the sets of objects are compared. Based on the comparison between the first frame (previous frame) and the second frame (current frame), a unique ID is assigned to an object in the second frame (current frame).

Claims

1. A method of tracking multiple objects using an image capture device comprising:

constructing a first set of objects as the image capture device is scanning row by row an image of a previous frame;

constructing a second set of objects as the image capture device is scanning row by row an image of a current frame;

comparing the second set of objects to the first set of objects; and

assigning, sequentially, in the current frame, a unique identification (ID) to an object, based on the comparing step.

2. The method of claim 1 wherein

the comparing step includes matching an object in a row of the previous frame to an object in a corresponding row of the current frame, and

the assigning step includes assigning the unique ID of the object in the previous frame to the object in the current frame.

3. The method of claim 1 wherein

the constructing of the second set of objects includes collecting at least two of the following items:

(a) a first object boundary indicating a minimum column belonging to an object in a row,

(b) a second object boundary indicating a maximum column belonging to the object in the corresponding row, and

(c) an object centroid indicating a center of the object in the corresponding row.

4. The method of claim 3 wherein

the constructing further includes collecting at least one of the following items:

(d) a shape parameter of the object in the corresponding row,

(e) an orientation parameter of the object in the corresponding row, and

(f) a length parameter of a previous row of the current frame.

5. The method of claim 3 wherein the constructing step includes comparing the collected items belonging to the object in the row to collected items belonging to another object in a previous row of the current image, and determining that the object of the row corresponds to the other object of the previous row, when the collected items are substantially similar between the row and the previous row.

6. The method of claim 3 wherein the constructing step further includes

comparing the collected items belonging to the object in the row to collected items belonging to another object in a previous row of the current image, and

determining that the object of the row is different from the other object of the previous row, when the collected items are substantially dissimilar between the row and the previous row.

7. The method of claim 1 wherein

storing the first set of objects includes storing data of the first set of objects in a first table, and

storing the second set of objects includes storing data of the second set of objects in a second table.

8. The method of claim 7 wherein

the steps of storing include replacing data in the first table with data in the second table, and

the steps of constructing include constructing another second set of objects as the image capture device is scanning row by row an image of a subsequent frame.

9. The method of claim 1 wherein

the step of constructing a second set of objects includes determining if an object in a current row is contiguous to an object in a previous row, and

determining that the object of the current row and the object of the previous row belong to the same object, if the objects are contiguous, and

determining that the object of the current row and the object of the previous row belong to two different objects, if the objects are not contiguous.

10. The method of claim 1 further including

providing an image of an object stored in memory to an external host computer, based on the unique ID assigned to the object.

11. A method of providing an image of an object, stored in an image capture device, to an external host controller, comprising:

scanning row by row, a field of view of a first image, to collect image data for the first image;

scanning row by row, a field of view of a second image, to collect image data for the second image;

comparing the first image data with the second image data,

determining a plurality of objects in the second image, based on the comparison step;

assigning a unique ID to each object determined in the determining step; and

providing an image of an object to the host controller, based on the unique ID assigned to the object, wherein

scanning the field of view of the first and second images includes;

processing adjacent rows of the image using a two-line buffer memory, and

forming an object list by comparing only the adjacent rows of the image.

12. The method of claim 11 including

determining another plurality of objects in the first frame;

storing the other plurality of objects of the first frame in a first table;

storing the plurality of objects in the second frame in a second table; and

assigning the same unique ID to each object in the second table, if the respective object matches a unique ID assigned to an object in the first table; and

replacing the first table with the second table.

13. The method of claim 11 including the steps of:

sending, by the host controller, the unique ID assigned to the object; and

transmitting, by the image capture device, the image of the object to the host controller, in response to the unique ID requested by the host controller.

14. The method of claim 11 wherein providing the image includes

providing an image of at least two objects to the host controller, when the host controller requests at least two unique IDs assigned to two respective objects.

15. The method of claim 11 wherein the step of providing the image of the object to the host controller includes the step of:

transmitting a packet of data including an identifier for a starting pixel of the object, an identifier for an ending pixel of the object, numbers of columns and rows of the object, and data pixels of the object.

16. A camera system on chip for tracking multiple objects comprising:

a pixel array of rows and columns for obtaining pixel data of a first image frame and a second image frame,

a system controller for executing a row-by-row scan of the pixel array, so that data is collected for the first and second image frames,

a two line buffer memory for storing pixel data of adjacent rolling first and second rows of the first and second image frames,

a processor for determining object statistics based on the pixel data stored in the two line buffer memory,

a first look up table stored in a memory including object statistics of the first image frame,

a second look up table stored in the memory including object statistics of the second image frame, and

a tracker module for identifying an object in the second frame based on the object statistics of the second image frame and the first image frame.

17. The camera system on chip of claim 16 wherein

the processor is configured to determine at least two of the following statistics:

(a) a first object boundary indicating a minimum column belonging to an object in a row,

(b) a second object boundary indicating a maximum column belonging to the object in the same row, and

(c) an object centroid indicating a center of the object in the same row,

(d) a shape parameter of the object in the same row,

(e) an orientation parameter of the object in the same row, and

(f) a length parameter of a previous row.

18. The camera system on chip of claim 16 wherein

the processor is configured to determine that one object is present in the two line buffer memory, if pixel data in the second row is contiguous to pixel data in the first row, and

the processor is configured to determine that at least two objects are present in the two line buffer memory, if pixel data in the second row is not contiguous to pixel data in the first row.

19. The camera system on chip of claim 16 wherein

the first look up table includes multiple objects identified by unique IDs based on the object statistics of the first image frame,

the second look up table includes multiple objects identified by temporary IDs based on the object statistics of the second image frame, and

the temporary IDs are assigned unique IDs after a comparison of the second look up table with the first look up table.

20. The camera system on chip of claim 19 wherein

the processor is configured to replace the object statistics in the first look up table with the object statistics in the second look up table, after assigning the unique IDs in the second look up table.

21. The camera system on chip of claim 16 wherein

each row of the first look up table includes an object of the first image frame, and

each row of the second look up table includes an object of the second image frame.

22. The camera system on chip of claim 21 wherein

the processor is configured to determine an object in a row based on intensity of at least one pixel in the row exceeding a threshold value.

23. The camera system on chip of claim 21 wherein

the processor is configured to determine an object in a row based on intensities of multiple consecutive pixels in the row exceeding a threshold value.

24. The camera system on chip of claim 21 wherein

the processor is configured to determine an object in a row based on intensities of multiple pixels in the row having a convex pattern of intensities.

25. The camera system on chip of claim 21 wherein

the processor is configured to determine at least two objects in a row, based on a first set of contiguous pixels in the row exceeding a threshold value and a second set of contiguous pixels in the row exceeding the threshold value, and the first set and the second set are not contiguous to each other.

26. The camera system on chip of claim 16 including

an external host controller coupled to the system controller for requesting an object identified in the second image frame, wherein

the system controller is configured to transmit the object requested by the host controller.

27. The camera system on chip of claim 26 wherein

the system controller is configured to transmit only the object requested by the host controller.