Long-term static object detection
AssigneeInternational Business Machines Corporation
InventorsQuanfu Fan, Zuoxuan Lu, Sharathchandra U. Pankanti
Life of this patent
Estimating the term…
Abstract
Software for static object detection that performs the following operations: (i) detecting an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period; (ii) identifying a set of corner points for the detected object; (iii) tracking the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to a template generated based on the identified corner points; and (iv) identifying the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.
Claims20
A method for static object detection, the method comprising:
- detecting an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period;
- identifying a set of corner points for the detected object;
- generating a template based on the identified set of corner points, wherein the template includes a weight assigned to a corner point of the set of corner points;
- tracking the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to the template;
- determining background information, wherein the background information includes an amount of a match between the template and a background of a first image of the set of images, and wherein the background is determined utilizing background subtraction;
- updating the template based on the background information, wherein updating the template includes adjusting the weight based on the amount of the match between the background and the generated template;
- and
- identifying the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold;
- wherein at least the tracking is performed by computer software running on computer hardware.
A computer program product for static object detection, the computer program product comprising a computer readable storage medium having stored thereon:
- instructions executable by a device to cause the device to detect an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period;
- instructions executable by the device to cause the device to identify a set of corner points for the detected object;
- instructions executable by the device to cause the device to generate a template based on the identified set of corner points, wherein the template includes a weight assigned to a corner point of the set of corner points;
- instructions executable by the device to cause the device to track the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to the template;
- instructions executable by the device to cause the device to determine background information, wherein the background information includes an amount of a match between the template and a background of a first image of the set of images, and wherein the background is determined utilizing background subtraction;
- instructions executable by the device to cause the device to update the template based on the background information, wherein updating the template includes adjusting the weight based on the amount of the match between the background and the generated template;
- and
- instructions executable by the device to cause the device to identify the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.
A computer system for static object detection, the computer system comprising:
- a processor(s) set;
- and
- a computer readable storage medium;
- wherein:
- the processor set is structured, located, connected and/or programmed to execute instructions stored on the computer readable storage medium;
- and
- the instructions include:
- instructions executable by the processor set to cause the system to detect an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period;
- instructions executable by the processor set to cause the system to identify a set of corner points for the detected object;
- instructions executable by the processor set to cause the system to generate a template based on the identified set of corner points, wherein the template includes a weight assigned to a corner point of the set of corner points;
- instructions executable by the processor set to cause the system to track the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to the template;
- instructions executable by processor set to cause the system to determine background information, wherein the background information includes an amount of a match between the template and a background of a first image of the set of images, and wherein the background is determined utilizing background subtraction;
- instructions executable by the processor set to cause the system to update the template based on the background information, wherein updating the template includes adjusting the weight based on the amount of the match between the background and the generated template;
- and
- instructions executable by the processor set to cause the system to identify the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.
Dependencies are inferred from the claim text.