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System and method for detecting and tracking objects

An object and computing system technology, applied in the field of tracking aircraft, which can solve the problems of a single object in the HMM model and the inability to detect objects, etc.

Pending Publication Date: 2022-01-07
欧若拉飞行科学公司
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Problems solved by technology

However, the HMM model used by this detector focuses on a single object (e.g., an aircraft) and thus cannot detect more than one object at a time

Method used

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  • System and method for detecting and tracking objects
  • System and method for detecting and tracking objects
  • System and method for detecting and tracking objects

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Embodiment Construction

[0017] Reference will now be made in detail to the present teachings, embodiments of which are illustrated in the accompanying drawings. In the drawings, like reference numerals are used to refer to like elements throughout. In the following description, reference is made to the accompanying drawings, which form a part hereof and are shown by way of illustrative embodiments in which the present teachings are implemented. Therefore, the following description is only exemplary.

[0018] The systems and methods disclosed herein create object trackers capable of (1) tracking detected objects after being initialized by the detector, and (2) for moving the detector forward, The detection probability is set to 0. This second part does not use the Hidden Markov Model (HMM) tracking-before-detection model, which usually focuses on only one detection, to continue searching for more objects within the frame. This is achieved by accepting as input a list of 2D points corresponding to t...

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Abstract

The invention relates to a system and method for detecting and tracking objects. A method includes the steps of receiving a first image captured at a first time. The method further includes detecting a position of the first object in the first image. The method further includes determining a region of interest based at least in part on the location of the first object in the first image. The method further includes receiving a second image captured at a second time. The method further includes identifying a region of interest in the second image. The method further includes detecting a position of a second object in a portion of the second image located outside the region of interest.

Description

technical field [0001] The present disclosure relates to tracking aircraft. More specifically, the present disclosure relates to detecting a first object (eg, an aircraft) over long distances, tracking the first object after detection, and then detecting a second object while tracking the first object. Background technique [0002] Methods exist for detecting single-pixel or sub-pixel objects in images or video frames corresponding to moving aircraft over long distances. These methods are called dark object detection because the aircraft cannot be recognizable in every image or video frame. Therefore, the detection problem is more difficult than can be solved by conventional object detection neural networks, and the subsequent tracking problem (ie, tracking detected objects) is more difficult than can be solved by conventional object trackers. [0003] A conventional long-range air-to-air vehicle detector uses morphological image processing and a Hidden Markov Model (HMM) ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232G01C11/04
CPCG01C11/04H04N23/695G06V10/759G06V10/751G06V2201/07G06V10/255G06V20/64G06F18/295
Inventor 本杰明·贾法克山姆维鲁塔·图穆卢鲁
Owner 欧若拉飞行科学公司
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