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 * Image Processing and Computer Vision

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 * Feature Detection and Extraction
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Main Content


TRACKING AND MOTION ESTIMATION

Optical flow, activity recognition, motion estimation, and tracking

Motion estimation and tracking are key activities in many computer vision
applications, including activity recognition, traffic monitoring, automotive
safety, and surveillance.

Computer Vision Toolbox™ provides video tracking algorithms, such as
continuously adaptive mean shift (CAMShift) and Kanade-Lucas-Tomasi (KLT). You
can use these algorithms for tracking a single object, or as building blocks in
a more complex tracking system. The toolbox also provides a framework for
multiple object tracking that includes a Kalman filter and using the Hungarian
algorithm for assigning object detections to tracks.

Motion estimation is the process of determining the movement of blocks between
adjacent video frames. This toolbox includes motion estimation algorithms, such
as optical flow, block matching, and template matching. These algorithms create
motion vectors, which can relate to the whole image, blocks, arbitrary patches,
or individual pixels. For block and template matching, the evaluation metrics
for finding the best match include mean square error (MSE), mean absolute
deviation (MAD), maximum absolute difference (MaxAD), sum of absolute difference
(SAD), and sum of squared difference (SSD).


FUNCTIONS

expand all


LOAD, SAVE, AND DISPLAY VIDEO

vision.BinaryFileReaderRead video data from binary
filesvision.BinaryFileWriterWrite binary video data to
filesvision.DeployableVideoPlayerDisplay videovision.VideoPlayerPlay video or
display imagevision.VideoFileWriterWrite video frames and audio samples to video
fileVideoReaderCreate object to read video files


OBJECT TRACKING

assignDetectionsToTracksAssign detections to tracks for multiobject
trackingbbox2pointsConvert rectangle to corner points
listconfigureKalmanFilterCreate Kalman filter for object
trackingvision.KalmanFilterCorrection of measurement, state, and state
estimation error covariancevision.HistogramBasedTrackerHistogram-based object
trackingvision.PointTrackerTrack points in video using Kanade-Lucas-Tomasi (KLT)
algorithmvision.BlockMatcherEstimate motion between images or video
framesvision.TemplateMatcherLocate template in image


MOTION ESTIMATION

opticalFlowObject for storing optical flow matricesopticalFlowFarnebackObject
for estimating optical flow using Farneback methodopticalFlowHSObject for
estimating optical flow using Horn-Schunck methodopticalFlowLKObject for
estimating optical flow using Lucas-Kanade methodopticalFlowLKDoGObject for
estimating optical flow using Lucas-Kanade derivative of Gaussian
methodvision.BlockMatcherEstimate motion between images or video
framesvision.TemplateMatcherLocate template in image


VISUALIZATION AND DISPLAY

insertMarkerInsert markers in image or videoinsertShapeInsert shapes in image or
videoinsertObjectAnnotationAnnotate truecolor or grayscale image or video
streaminsertTextInsert text in image or videoimshowDisplay
imageimshowpairCompare differences between images


TOPICS

 * Multiple Object Tracking
   
   
   Locate a moving object or multiple objects over time in a video stream.


FEATURED EXAMPLES


TRACK A FACE IN SCENE

Track a face using a minimum Eigen features detection function and a point
tracker.

Open Script


TRACKING PEDESTRIANS FROM A MOVING CAR

Track pedestrians using a camera mounted in a moving car.

Open Script


MOTION-BASED MULTIPLE OBJECT TRACKING

Perform automatic detection and motion-based tracking of moving objects in a
video from a stationary camera.

Open Script


FACE DETECTION AND TRACKING USING LIVE VIDEO ACQUISITION

Automatically detect and track a face in a live video stream, using the KLT
algorithm.

Open Script


FACE DETECTION AND TRACKING USING CAMSHIFT

Automatically detect and track a face.

Open Script


FACE DETECTION AND TRACKING USING THE KLT ALGORITHM

Automatically detect and track a face using feature points. The approach in this
example keeps track of the face even when the person tilts his or her head, or
moves toward or away from the camera.

Open Live Script


USE KALMAN FILTER FOR OBJECT TRACKING

Use the vision.KalmanFilter object and configureKalmanFilter function to track
objects.

Open Script


IMPORT CAMERA-BASED DATASETS IN MOT CHALLENGE FORMAT FOR OBJECT TRACKING

Read camera image sequences and convert the ground truth and detections to
Sensor Fusion and Tracking Toolbox™ formats using a custom dataset.

Open Live Script


IMPLEMENT SIMPLE ONLINE AND REALTIME TRACKING

Implement the Simple Online and Realtime (SORT) object tracking algorithm using
the Computer Vision Toolbox and the Sensor Fusion and Tracking Toolbox.

Open Live Script


VISUAL TRACKING OF OCCLUDED AND UNRESOLVED OBJECTS

Resolve challenging tracking scenarios when objects are occluded or when they
are in close proximity to each other.

Open Live Script

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