JP2016001397A5

JP2016001397A5 -

Info

Publication number: JP2016001397A5
Application number: JP2014120889A
Authority: JP
Filing date: 2014-06-11
Publication date: 2017-07-27
Anticipated expiration: 2034-06-11

Description

本発明は、物体が映された画像を時系列に取得する取得手段と、前記画像から前記物体およびその画像特徴を検出する検出手段と、前記取得された画像または検出された画像特徴の異常を検出する監視手段と、取得された画像から検出された物体の画像特徴に基づいて、当該画像特徴の辞書を学習するとともに、前記異常が検出されたときは、前記画像特徴に基づく前記学習を、前記異常が回復した後に、設定された所定条件を満たすまで抑制する辞書管理手段と、を有する画像処理装置を提供する。 The present invention provides an acquisition means for acquiring an image showing an object in time series, a detection means for detecting the object and its image feature from the image, and an abnormality of the acquired image or the detected image feature. monitoring means detect, on the basis of the image features detected from the acquired image object, as well as learning a dictionary of the image feature, when the anomaly is detected, the learning based on the image feature, There is provided an image processing apparatus having dictionary management means for suppressing until a predetermined condition is set after the abnormality is recovered .

Claims

An acquisition means for acquiring an image showing an object in time series;
Detecting means for detecting the object and its image feature from the image;
Monitoring means for detecting an abnormality of the acquired image or detected image feature;
Based on the image feature of the object detected from the acquired image, the dictionary of the image feature is learned, and when the abnormality is detected , the learning based on the image feature is performed after the abnormality is recovered. and dictionary management means inhibits until a predetermined condition is satisfied is set,
An image processing apparatus.

The dictionary management means manages a plurality of types of dictionaries, and when the abnormality is detected, suppresses the learning based on the image feature until a predetermined condition set according to the type of the dictionary is satisfied.
The image processing apparatus according to claim 1.

The monitoring means measures the elapsed time after the abnormality is recovered as a normal time,
The dictionary management means resumes learning of the dictionary when the normal time exceeds a predetermined period set according to the type of dictionary.
The image processing apparatus according to claim 2 .

Tracking means for tracking the object based on the detected image feature of the object;
The dictionary management means resumes learning of the dictionary based on an image feature of an object tracked by the tracking means after the predetermined time has elapsed since the recovery of the abnormality;
The image processing apparatus according to claim 3 .

The dictionary management means is a first dictionary used for identifying the identity of an object in the imaging range of one imaging device, and a first dictionary used for identifying the identity of an object in the imaging range of a plurality of imaging devices. 2 dictionaries and at least one dictionary used to identify the identity of objects appearing in a plurality of different images with a time difference of a certain time or more regardless of the number of photographing devices are configured to be accessible. ,
The normal time is set longer in the order of the third dictionary, the second dictionary, and the first dictionary.
The image processing apparatus according to claim 4 .

The acquisition means includes an interface with a network transmission line to which an imaging device that captures the object or an external device that outputs the image is connected,
The monitoring means is any one of a decrease in intensity below a threshold, discontinuity of frame number or sequence number, mismatch of checksum, failure of fragmentation reconstruction in a signal including the image acquired from the network transmission path as a component. The occurrence of the abnormality is detected,
The image processing apparatus according to claim 1.

The acquisition unit includes a decoding unit that decodes and outputs a moving image received from an imaging device that captures the object or an external device that outputs the image,
The monitoring means detects any occurrence of checksum abnormality at the time of decoding, discontinuity of timing information, format abnormality in the moving image as the abnormality.
The image processing apparatus according to claim 1.

The monitoring means detects a case where a difference or ratio of pixel values or pixel numbers between adjacent images exceeds a preset threshold, as the abnormality.
The image processing apparatus according to claim 1.

The monitoring means detects the case where the difference or ratio of the number of objects detected between adjacent images exceeds a preset threshold, as the abnormality.
The image processing apparatus according to claim 1.

A computer having a function of acquiring an image showing an object and learning a dictionary of the image feature from the acquired image based on the object and its image feature,
The presence of abnormality is monitored in the acquired image or detected image feature, when an abnormality is detected, the learning based on the image feature, after the abnormality is restored, to a predetermined condition is satisfied, which is set It is characterized by executing a suppression process,
Image processing method.

A computer program for causing a computer to function as the image processing apparatus according to any one of claims 1 to 9.