Traffic video processing device and method, and retrieval device and method

A video processing and transportation technology, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve problems such as damage to user experience, low retrieval accuracy, large data scale, etc., to reduce video retrieval, improve retrieval efficiency, The effect of improving accuracy

Active Publication Date: 2015-12-09
HITACHI LTD
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  • Claims
  • Application Information

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Problems solved by technology

However, this invention only utilizes the content-based video retrieval technology without considering the temporal and spatial continuity of traffic flow in the traffic video surveillance network. It needs to retrieve all the videos in th

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  • Traffic video processing device and method, and retrieval device and method
  • Traffic video processing device and method, and retrieval device and method

Examples

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Embodiment 1

[0042] Vehicle route retrieval based on traffic video processing device and method and retrieval device and method of the present invention

[0043] In some cases, the public security department and the traffic control department need to search the route of the vehicle through the traffic video. This embodiment uses the license plate number as the semantic feature and combines the spatio-temporal characteristics of the traffic flow to establish a vehicle route retrieval video index library, and based on the index The library retrieves the vehicle path. The process is as follows:

[0044] 1. Extract the vehicle in the video as the retrieval object;

[0045] 2. Establish a video index library for vehicle path retrieval based on the spatio-temporal characteristics of traffic flow. This part is divided into three steps. First, establish the video topology index relationship of adjacent cameras according to the spatio-temporal characteristics of traffic flow in the traffic video s...

Embodiment 2

[0050] Special vehicle retrieval based on traffic video processing device and method and retrieval device and method of the present invention

[0051] In this example, special vehicles refer to vehicles that can be visually distinguished from ordinary vehicles, such as armored vehicles, taxis, ambulances, sprinklers, etc. Due to the special functions of these vehicles, they are different from ordinary vehicles in appearance. Significant difference, so the visual semantic features of these vehicles (such as vehicle type, vehicle shape, vehicle color, vehicle texture, etc.) are very different from the visual semantic features of ordinary vehicles. According to this feature, this embodiment establishes a special vehicle video index library based on the semantic features of the appearance of the special vehicle combined with the spatio-temporal characteristics of the traffic flow, and searches the special vehicle based on the index library. The process is as follows:

[0052] 1. ...

Embodiment 3

[0058] Pedestrian Retrieval Based on Traffic Video Processing Device and Method and Retrieval Device and Method of the Present Invention

[0059] In this embodiment, a video index database for pedestrian retrieval is established by taking facial features as semantic features and combining the spatiotemporal characteristics of traffic flow, and pedestrians are retrieved based on the index database. The process is as follows:

[0060] 1. Extract the pedestrians in the video as the retrieval object;

[0061] 2. Establish a pedestrian retrieval video index database based on the temporal and spatial characteristics of traffic flow. This part is divided into three steps. First, establish the video topology index relationship of adjacent cameras according to the temporal and spatial characteristics of traffic flow in the traffic video surveillance network. All the face features in the video frame are the semantic features of the retrieval object, and the video is structured, and the...

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Abstract

The invention provides a traffic video processing device and method, and a retrieval device and method. The traffic video processing device comprises a unit extracting a retrieval object from traffic video data; a unit building a topological index relation of a video shot by an adjacent traffic camera; a unit dividing the video shot by the traffic camera into a plurality of frame clusters; a unit building an index relation of a frame cluster having semantic feature correlation in the video having the topological index relation and shot by the adjacent traffic camera; and a unit building a topological index relation of all videos by using the topological index relation unit, and building the index relation of the frame clusters of all videos based on the topological index relation and frame cluster index relation of all videos to form a video index database. Based on the traffic video processing device and method, and the retrieval device and method, provided by the invention, unnecessary workloads of retrieving the traffic videos during the traffic video retrieval can be reduced, and the influence on retrieval accuracy caused by unrelated videos can be prevented.

Description

technical field [0001] The invention relates to the field of video retrieval, in particular to a traffic video processing and retrieval device and method based on the spatio-temporal characteristics of traffic flow. Background technique [0002] With the rapid development of multimedia technology, human information storage and dissemination has developed from a single text description data to digital video data composed of audio, text, pictures and other media, and the scale of digital video is huge, increasing rapidly with time. Therefore, in the field of video retrieval, the current problem is no longer the lack of digital video, but how to quickly and accurately retrieve the content of interest in the face of huge digital video data. Aiming at this problem, people put forward Content Based Video Retrieval (ContentBasedVideoretrieval, CBVR) technology. The so-called content-based video retrieval is the process of extracting specific semantic features (color, texture, shap...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 黄跃峰成斌
Owner HITACHI LTD
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