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intuBlog - Person Track Search by Color and Classification

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Person Track Search by Color and Classification

Anna Vacha

Detailed object searches are possible with all intuVision VA modules using the saved metadata for tracked objects, such as color, classification, and motion path through the scene without re-processing of the video. intuVision Review application allows searching any previously analyzed video using a range of object and camera metadata.

Search criteria include object metadata such as the prominent object color and classification type, as well as video envelope information such as the camera ID, date & time interval, and even the object’s motion trajectory in the scene. Once a search query is run, objects matching the search criteria are returned ordered by the similarity, in a convenient list showing a series of thumbnail image snapshots of the object along its track as it moves through the scene. Users can easily glance through the returned objects by clicking on each object track, when an object is selected the path the object has taken through the scene is highlighted showing its movement pattern.

This feature enables investigation of behavior beyond the pre-configured events. During intuVision system setup, events are configured to detect anticipated behaviors such as a person loitering or a vehicle speeding. In instances where an incident occurs outside of configured events, or a security alert is issued from another source for a specific person or vehicle of interest, the object search allows users to look for that specific person, or vehicle, without the need to re-process video or manually watch relevant recorded video.

Searches for people may include looking for a person wearing blue pulling luggage, someone returning a shopping cart at a specific time, or trying to track down a lost child in a shopping mall. Object color and date/time information within selected camera views can be used to further filter out the people who are not of interest. Classification can be leveraged to isolate people in specific situations, i.e. those with shopping carts or luggage.

While the example below focuses on color and classification search for people in retail and security environments, the same technology can be applied to people, other types of objects, or can be used in scenes with both people and vehicles to differentiate between them. To see a spotlight on vehicle search, see this post: object track search in traffic scenes.

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