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A Pedestrian Tracking Method Based on Low Altitude Aerial Infrared Video

A pedestrian tracking and pedestrian technology, applied in the field of computer vision, can solve problems such as poor imaging quality and small pedestrian targets, and achieve the effects of overcoming cumulative deviation, stable tracking, and good expression ability

Active Publication Date: 2019-07-05
BEIHANG UNIV
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Problems solved by technology

[0005] In order to overcome the problems caused by poor imaging quality and small pedestrian targets of low-altitude aerial infrared video, this invention proposes a pedestrian tracking method based on low-altitude aerial infrared video, which is realized by combining Lucas-Kanade optical flow method and local area secondary detection Continuous and stable pedestrian tracking

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  • A Pedestrian Tracking Method Based on Low Altitude Aerial Infrared Video
  • A Pedestrian Tracking Method Based on Low Altitude Aerial Infrared Video
  • A Pedestrian Tracking Method Based on Low Altitude Aerial Infrared Video

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Embodiment Construction

[0020] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0021] The present invention is based on the pedestrian tracking method of low-altitude aerial infrared video, such as figure 1 As shown, it is realized through the following steps:

[0022] Step 1: Offline training aerial infrared pedestrian support vector machine (SVM) classifier;

[0023] A. Establish a training data set for aerial infrared images of pedestrians and non-pedestrians:

[0024] Use a quadrotor UAV to carry a thermal infrared camera to collect infrared pedestrian videos at the same height (40m-60m is appropriate) in different scenes, where the camera shoots vertically downward. For an aerial infrared pedestrian video of a fixed scene, a part of the video frame image is selected, and then pedestrian and non-pedestrian training samples are manually extracted from the image. In this embodiment, a section of road aerial infrared video is select...

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Abstract

The invention discloses a pedestrian tracking method based on low-altitude aerial photography infrared video, which combines Lucas-Kanade optical flow method and local area secondary detection to realize continuous and stable pedestrian tracking: 1. Offline training aerial photography infrared pedestrian support vector machine (SVM) classification 2. Determine the initial position of the pedestrian target; 3. Use the LK optical flow method to initially track the pedestrian target, and calculate the position of the pedestrian target in the next frame; 4. Set the search area around the predicted position of the pedestrian target; In the area, use the SVM classifier trained off-line to perform secondary detection on infrared pedestrians, and update the pedestrian target position; 5. Use the pedestrian target center detected in the search area as the input coordinates of the next LK optical flow method, and repeat the steps ( 3) ~ (5) can be. The invention can realize continuous and stable tracking of infrared pedestrian targets, and can deal with problems such as street lamp blocking.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a pedestrian tracking method, specifically, a pedestrian tracking method based on low-altitude aerial infrared video. Background technique [0002] With the rapid development of computer vision technology, collecting pedestrian data through video has become an important research direction in the field of computer vision, and is widely used in public place monitoring, intelligent traffic monitoring system, vehicle assisted driving system development and so on. In the field of computer vision, pedestrian tracking usually refers to precisely locking the position of the same pedestrian in video or continuous frame images, which can improve the accuracy of pedestrian detection. Due to the non-rigidity of the human target, and the complex and changeable posture and appearance, the size of the far and near scales is different, coupled with the target occlusion and the randomness o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/53G06V2201/07G06F18/2411G06F18/253
Inventor 王云鹏吴新开马亚龙余贵珍王章宇
Owner BEIHANG UNIV
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