Configuring the Object tracker

To configure the Object tracker detector, do the following:

Go to the Detectors tab.
Below the required camera, click Create… → Category: Trackers → Object tracker.

By default, the detector is enabled and set to detect moving objects in the frame, on the basis of which their tracks are created.

Some parameters are set for all sub-detectors of the Object tracker simultaneously (see Recommendations for configuring the Object tracker and its sub-detectors).

If necessary, you can change the detector parameters. The list of parameters is given in the table:

Parameter	Value	Description
Object features
Record objects tracking	Yes	By default, metadata is recorded into the database. To disable metadata recording, 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.
Record objects tracking	No
Video stream	Main stream	If the camera supports multistreaming, select the stream for which detection is needed. Selecting a low-quality video stream allows you to reduce the server load. Attention! To ensure the correct display of streams on a multi-stream camera, all video streams must have the same frame aspect ratio.
Other
Enable	Yes	By default, the parameter is enabled. To disable, select the No value
Enable	No
Name	Object tracker	Enter the detector 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 are used for decoding
	CPU
	GPU
	HuaweiNPU
Type	Object tracker	Name of the detector type (non-editable field)
Neural network filter
Enable filter	Yes	By default, the neural network filter is disabled. To enable a neural network filter to filter out parts of tracks, set the value to Yes (see Hardware requirements for neural analytics operation). For example, a neural network filter can process the results of the tracker and filter out false positives on a complex video image (foliage, glare, and so on). Attention! You can use a neural network filter either only for the analysis of moving objects or only for the analysis of abandoned objects. You cannot use two neural network filters simultaneously.
Enable filter	No
Moving object filter mode	CPU	Select the processor for the neural network operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detectors). Attention! If you specify another processing resource than the CPU, this device carries most of the computing load. However, the CPU is also used to run the detector. It can take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (see Optimizing the operation of neural analytics on GPU in Windows OS). Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported. Starting with Detector Pack 3.14, Intel Multi-GPU and Intel GPU 0-3 are supported.
	Nvidia GPU 0
	Nvidia GPU 1
	Nvidia GPU 2
	Nvidia GPU 3
	Intel NCS (not supported)
	Intel HDDL (not supported)
	Intel Multi-GPU
	Intel GPU 0
	Intel GPU 1
	Intel GPU 2
	Intel GPU 3
	Huawei NPU
Abandoned object filter mode	CPU
	Nvidia GPU 0
	Nvidia GPU 1
	Nvidia GPU 2
	Nvidia GPU 3
	Intel NCS (not supported)
	Intel HDDL (not supported)
	Intel Multi-GPU
	Intel GPU 0
	Intel GPU 1
	Intel GPU 2
	Intel GPU 3
	Huawei NPU
Moving object filter file		Select the required neural network. To obtain a neural network, contact AxxonSoft technical support. If the neural network file isn't selected or selected incorrectly, the filter doesn't work Attention! You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One. For correct neural network operation on Linux OS, place the corresponding file locally in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory or in the network folder with the corresponding access rights.
Abandoned object filter file
Basic settings
Long-time abandoned object detection	Yes	By default, the parameter is disabled. To enable, select the Yes value. Note If you enable this and the Enable filter parameter, it can reduce the number of false positives during detection.
Long-time abandoned object detection	No
Abandoned object detection	Yes	By default, the parameter is disabled. To enable, select the Yes value. Note Objects abandoned for 10 seconds or longer are detected.
Abandoned object detection	No
Max. object height	100	Set the maximum height and width of the detected object as a percentage of the frame size. The value must be in the range [0.05, 100]. Attention! If the Object calibration parameter is enabled in the tracker settings, then the maximum height and width of objects is set in decimeters and not as a percentage of the frame size.
Max. object width	100
Alarm on object's max. idle time in area	60	Specify the time in seconds exceeding which the object is detected. This value must be in the range [15, 1800]. Note This parameter is used only for the Long-time abandoned object detection. We recommend selecting the parameter value starting from 15.
Min. object height	2	Set the minimum height and width of the detected object as a percentage of the height/width of the frame. The value must be in the range [0.05, 100]. Attention! If the Object calibration parameter is enabled in the tracker settings, then the minimum height and width of objects is set in decimeters and not as a percentage of the frame size.
Min. object width	2
Motion detection sensitivity	25	Set the sensitivity of the motion sub-detectors in percentage. The higher the sensitivity, the fewer changes in the frame are detected. The value must be in the range [0, 100]
Abandoned object detection sensitivity	9	Set the sensitivity for abandoned object detection and long-time abandoned object detection as a percentage. The value must be in the range [0, 100]. Note The Abandoned object detection sensitivity parameter depends on the lighting conditions and is selected empirically. We recommend selecting the parameter value starting from 20.
Advanced settings
Auto sensitivity	Yes	By default, the Auto sensitivity is enabled. To disable automatic adjustment of the sensitivity of the Object tracker sub-detectors, select the No value. Note We recommend enabling this parameter if the lighting changes significantly during the camera operation (for example, if the camera operates outdoors).
Auto sensitivity	No
Track lifespan (starting with Detector Pack 3.14)	Yes	By default, the parameter is disabled. If you want to display the track lifespan for an object in seconds, select the Yes value
Track lifespan (starting with Detector Pack 3.14)	No
Leveling rod height	20	Set the height of the calibration object in decimeters. The value must be in the range [1, 100]
Frame size change	1280	By default, during the analysis, the frame is compressed to the specified size (by default, 1280 pixels on the larger side). The following algorithm is used: If the original resolution on the larger side of the frame is greater than the resolution specified in the Frame size change parameter, then it is divided in half. If the resulting resolution becomes less than the specified one, then the algorithm stops and the resulting resolution is used. If the resulting resolution is still greater than the specified one, then it is divided in half again until it becomes smaller. Note For example, the original video resolution is 2048x1536, the specified value is 1000. In this case, the original resolution is divided in half (512x384) twice because after the first division, the value on the larger side of the frame is greater than the specified value (1024 > 1000). If detection errors occur when using a higher resolution stream, we recommend reducing compression.
Object calibration	Yes	By default, the parameter is disabled (see Configuring perspective). To estimate the real size of an object based on a simplified calibration system, select the Yes value
Object calibration	No
Camera position	Wall	To filter out false events when using a fisheye camera, select the correct location of the device. The default value is Wall. This parameter isn't relevant for all other devices
Camera position	Ceiling
Antishaker	Yes	By default, the parameter is disabled. To reduce camera shake, select the Yes value. We recommend using this parameter only when there is significant camera shake
Antishaker	No

By default, the entire frame is a detection area. If necessary, in the preview window, set:

one or more detection areas (see Configuring a detection area),
one or more skip areas (see Configuring a skip area).

Note

For convenience of configuration, you can "freeze" the frame. Click the button. To cancel the action, click this button again.
The detection area is displayed by default. To hide it, click the button. To cancel the action, click this button again.

To save the parameters of the detector, click the Apply button. To cancel the changes, click the Cancel button.

Configuring the Object tracker detector is complete. General parameters are set for all its sub-detectors. If necessary, you can create and configure the necessary sub-detectors on the basis of the Object tracker (see Abandoned object, Standard sub-detectors).

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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.