Link to this sectionTrackZone using Ultralytics YOLO26#

Link to this sectionWhat is TrackZone?#

TrackZone specializes in monitoring objects within designated areas of a frame instead of the whole frame. Built on Ultralytics YOLO26, it integrates object detection and tracking specifically within zones for videos and live camera feeds. YOLO26's advanced algorithms and deep learning technologies make it a perfect choice for real-time use cases, offering precise and efficient object tracking in applications like crowd monitoring and surveillance.

Link to this sectionAdvantages of Object Tracking in Zones (TrackZone)#

• Targeted Analysis: Tracking objects within specific zones allows for more focused insights, enabling precise monitoring and analysis of areas of interest, such as entry points or restricted zones.
• Reduced Downstream Workload: By ignoring objects outside the zone, TrackZone removes irrelevant detections so there are fewer objects to count, log, or alert on in the logic you build on top of it. Detection still runs on a full-size masked frame rather than a tight crop of the zone, so the benefit is cleaner, more focused output rather than faster model inference.
• Enhanced Security: Zonal tracking improves surveillance by monitoring critical areas, aiding in the early detection of unusual activity or security breaches.
• Scalable Solutions: The ability to focus on specific zones makes TrackZone adaptable to various scenarios, from retail spaces to industrial settings, ensuring seamless integration and scalability.

Link to this sectionReal World Applications#

Agriculture	Transportation
Plants Tracking in Field Using Ultralytics YOLO26	Vehicles Tracking on Road using Ultralytics YOLO26

# Run a trackzone example
yolo solutions trackzone show=True

# Pass a source video
yolo solutions trackzone source="path/to/video.mp4" show=True

# Pass region coordinates
yolo solutions trackzone show=True region="[(150, 150), (1130, 150), (1130, 570), (150, 570)]"

Link to this sectionTrackZone Arguments#

Here's a table with the TrackZone arguments:

The TrackZone solution includes support for track parameters:

Moreover, the following visualization options are available:

Link to this sectionCount Objects Inside the Zone#

Every call to the tracker returns a SolutionResults object whose total_tracks attribute holds the number of objects currently tracked inside the zone. Read it on each frame to monitor live occupancy, for example to log how busy an entry point or restricted area is:

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video.mp4")
assert cap.isOpened(), "Error reading video file"

region_points = [(150, 150), (1130, 150), (1130, 570), (150, 570)]
trackzone = solutions.TrackZone(show=False, region=region_points, model="yolo26n.pt")

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        break
    results = trackzone(im0)
    print(f"Objects currently in zone: {results.total_tracks}")  # live zone occupancy

cap.release()

Link to this sectionFAQ#

Link to this sectionHow do I track objects in a specific area or zone of a video frame using Ultralytics YOLO26?#

Tracking objects in a defined area or zone of a video frame is straightforward with Ultralytics YOLO26. Simply use the command provided below to initiate tracking. This approach ensures efficient analysis and accurate results, making it ideal for applications like surveillance, crowd management, or any scenario requiring zonal tracking.

yolo solutions trackzone source="path/to/video.mp4" show=True

Link to this sectionHow can I use TrackZone in Python with Ultralytics YOLO26?#

With just a few lines of code, you can set up object tracking in specific zones, making it easy to integrate into your projects.

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
video_writer = cv2.VideoWriter("trackzone_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

trackzone = solutions.TrackZone(
    show=True, region=[(150, 150), (1130, 150), (1130, 570), (150, 570)], model="yolo26n.pt"
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        break
    results = trackzone(im0)
    video_writer.write(results.plot_im)

cap.release()
video_writer.release()
cv2.destroyAllWindows()

Link to this sectionHow do I configure the zone points for video processing using Ultralytics TrackZone?#

Configuring zone points for video processing with Ultralytics TrackZone is simple and customizable. You can directly define and adjust the zones through a Python script, allowing precise control over the areas you want to monitor.

# Define region points
region_points = [(150, 150), (1130, 150), (1130, 570), (150, 570)]

# Initialize trackzone
trackzone = solutions.TrackZone(
    show=True,  # display the output
    region=region_points,  # pass region points
)

Remember that TrackZone reduces the points to their convex hull, so list them in order around the perimeter of the area you want to monitor.

Link to this sectionWhen should I use TrackZone instead of ObjectCounter or RegionCounter?#

All three solutions work with regions, but they answer different questions:

Choose TrackZone when you want continuous tracking inside one area, and RegionCounter when you need multiple zones or a non-convex shape.