Monitoring human and vehicle activities using airborne video

Monitoring human and vehicle activities using airborne video
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使用机载视频监控人员和车辆活动

DOI:
10.1117/12.384868
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发表时间:
2000
期刊:
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影响因子:
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通讯作者:
L. Davis
L. Davis
中科院分区:
--
文献类型:
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作者:
Ross Cutler;C. Shekhar;B. Burns;R. Chellappa;R. Bolles;L. Davis

文献摘要

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描述了机载视频监控 (AVS) 项目的活动监控 (AM) 正在进行的工作。 AM 的目标是使用机载视频识别涉及人类和车辆的感兴趣活动。 AM由三个主要部分组成:(1)运动目标检测、跟踪和分类; (2) 图像到站点模型的注册; (3)活动识别。由于图像噪声、低 GSD、对比度差、运动视差、运动模糊、相机模糊和相机抖动,从机载视频中检测和跟踪人和车辆是一个具有挑战性的问题。我们使用帧到帧仿射扭曲稳定和时间积分强度差异来检测独立运动。移动物体最初使用最近邻对应进行跟踪,然后采用贪婪方法,该方法有利于长轨迹长度并假设局部恒定速度。对象分类基于对象大小、速度和运动周期。场地模型注册使用 GPS 信息和相机/飞机方向来提供海拔 1000m 时精度为 +/- 100m 的初始地理位置。利用半自动程序将精度提高到+/- 5m。活动识别组件使用地理定位的跟踪对象和站点模型来检测预先指定的活动,例如进入禁区的人员和离开停靠区域的车辆群。
Ongoing work in Activity Monitoring (AM) for the Airborne Video Surveillance (AVS) project is described. The goal for AM is to recognize activities of interest involving humans and vehicles using airborne video. AM consists of three major components: (1) moving object detection, tracking, and classification; (2) image to site-model registration; (3) activity recognition. Detecting and tracking humans and vehicles form airborne video is a challenging problem due to image noise, low GSD, poor contrast, motion parallax, motion blur, and camera blur, and camera jitter. We use frame-to- frame affine-warping stabilization and temporally integrated intensity differences to detect independent motion. Moving objects are initially tracked using nearest-neighbor correspondence, followed by a greedy method that favors long track lengths and assumes locally constant velocity. Object classification is based on object size, velocity, and periodicity of motion. Site-model registration uses GPS information and camera/airplane orientations to provide an initial geolocation with +/- 100m accuracy at an elevation of 1000m. A semi-automatic procedure is utilized to improve the accuracy to +/- 5m. The activity recognition component uses the geolocated tracked objects and the site-model to detect pre-specified activities, such as people entering a forbidden area and a group of vehicles leaving a staging area.