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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.
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To configure the Human tracker VL, do the following:
Go to the Detection Tools tab.
- Below the required camera, click Create… → Category: Trackers → Human tracker VL.
By default, the detection tool is enabled and set to detect people in the frame and generate events.
If necessary, you can change the detection tool parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|---|---|
| Object features | ||
| Video stream | Main stream | If the camera supports multistreaming, select the stream for which detection is needed. Attention! To ensure the correct display of streams on a multi-stream camera, all video streams must have the same frame aspect ratio. |
| Record objects tracking | Yes | The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value. Attention! To obtain metadata, the video is decompressed and analyzed, which results in a heavy load on the Server and limits the number of video cameras that can be used on it. |
| No | ||
| Other | ||
| Enable | Yes | The Human tracker VL detection tool is enabled by default. To disable the detection tool, select the No value |
| No | ||
| Name | Human tracker VL | Enter the detection tool name or leave the default name |
Decoder mode | Auto | Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with Nvidia NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding |
| CPU | ||
| GPU | ||
| HuaweiNPU | ||
| Type | Human tracker VL | Name of the detection tool type (non-editable field) |
Advanced settings | ||
| Frame size change | 640 | Select the resolution to which the video will be compressed before analysis
|
| 960 | ||
| 1280 | ||
| 1920 | ||
| 2560 | ||
| 3840 | ||
| 5120 | ||
| 7680 | ||
| 15360 | ||
| Number of frames without detections | 18 | Specify the number of frames without objects detection. If no object is detected in the designated area, the neural network algorithm will continue to process the specified number of frames before it considers the track lost and terminated. The value must be in the range [1, 10 000] |
Number of frames between detections | 7 | Specify the number of frames between detections. The lower the value, the higher the probability that the neural network algorithm will detect a new object as soon as it appears in the designated area. The value must be in the range [1, 10 000] |
Minimum number of detections | 1 | Specify the minimum number of detections after which a track will be considered a detected object. The value must be in the range [1, 10 000] |
Basic settings | ||
Minimum threshold of object authenticity | 60 | Specify the minimum threshold of object authenticity in percent, at which an object is considered detected. The higher the value, the fewer objects are detected, but the more reliable the detected objects are. The value must be in the range [1, 100] |
Mode
| CPU | Select a processor for the detection tool operation (see Selecting Nvidia GPU when configuring detectors). Attention! If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the detection tool. |
| Nvidia GPU 0 | ||
| Nvidia GPU 1 | ||
| Nvidia GPU 2 | ||
| Nvidia GPU 3 | ||
| Huawei NPU | ||
If necessary, in the preview window, set an area of the frame, in which you want to detect objects. You can specify the area by moving the anchor points 
(see Configuring the Detection Zone).
Note
- For convenience of configuration, you can "freeze" the frame. Click the
button. To cancel the action, click this button again. - To hide detection area, click the
button. To cancel the action, click this button again.
To save the parameters of the detection tool, click the Apply 
button. To cancel the changes, click the Cancel 
button.
The Human tracker VL is configured. If necessary, you can create and configure the necessary sub-tools on the basis of the Human tracker VL (see Standard detection sub-tools).
Overview
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