Object Detection

Object Detection finds objects that belong to pre-defined classes, when they appear in media. For example, if you are processing video captured by a CCTV camera, you could train Media Server to return the locations of pedestrians, cyclists, and cars that appear in the video.

Configuration Parameter Description
DetectionThreshold The minimum confidence score necessary for Media Server to output an object detection result.
Detector The detector to use for object detection.
Input The track to analyze.
NumParallel The maximum number of video frames to analyze simultaneously.
Region The region of the frame to restrict processing to.
RegionUnit The units to use when setting the Region parameter.
RestrictToInputRegion Specifies whether to analyze a region of the input image or video frame that is specified in the input record, instead of the entire image.
SampleInterval The interval at which frames are selected to be analyzed.
SyncDatabase Specifies whether to synchronize with the training database before starting analysis.
Type The analysis engine to use. Set this parameter to ObjectDetection.

Output Tracks

Output track Description Output1This column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the Input parameter for the output task).
Data Contains one record, describing the analysis results, per detected object, per video frame. No
DataWithSource The same as the Data track, but each record also includes the source frame. No
Event Media Server creates a record in the Event track when an object appears or disappears. Yes
Result Contains one record, describing the analysis results, for each detected object. When the same object appears in many consecutive frames, Media Server produces a single result. Yes
ResultWithSource The same as the Result track, but each record also includes the best source frame. No

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