Optical Flow Sample¶
The Computer Vision API can be used to compute the optical flow of objects moving in front of the camera. The optical flow is computed in a sparse way: flow information is generated on clusters of events and not for each event.
The sample in
<install-prefix>/share/metavision/sdk/cv/samples/metavision_sparse_optical_flow/metavision_sparse_optical_flow.cpp
shows how to implement a pipeline for computing the sparse optical flow.
Expected Output¶
The sample visualizes events and the output optical flow with arrows indicating direction and magnitude of motion:
The sample also generates a video with the output flow.
How to start¶
First, compile the sample as described in this tutorial.
To start the sample, you need to provide recorded data with the full path to a RAW file (here, we use the file from Metavision Dataset):
Linux
./metavision_sparse_optical_flow pedestrians.raw
Windows
metavision_sparse_optical_flow.exe pedestrians.raw
Code Overview¶
Spatio Temporal Contrast Filter Stage¶
This stage applies the Metavision::SpatioTemporalContrastAlgorithmT
to reduce the noise in the events
stream.
The filtered events are then sent to both the optical flow and frame generation stages.
Sparse Optical Flow Stage¶
This stage applies the Metavision::SparseOpticalFlowAlgorithm
on the events stream and produces
Metavision::EventOpticalFlow
events for each internally detected events cluster. Events are clustered
together based on their speed and directions: events with a similar speed and direction are clustered and flow is
computed for them.
Frame Generation Stage¶
This stage uses the Metavision::FlowFrameGeneratorAlgorithm
to generate a frame that will be used later on
in the display stage to visualize the result of the Metavision::SparseOpticalFlowAlgorithm
by rendering the
estimated flows on the top of the events.
As shown in the graph, the optical flow events and the CD events are received in parallel meaning that the optical flow
events and CD events have to be synchronized in some ways. This is done in the
Metavision::FlowFrameGenerationStage
by buffering the incoming events and producing the image when
possible.
Note
Different approaches could be considered for more advanced applications.
In the Metavision::FlowFrameGenerationStage
class, the methods Metavision::BaseStage::set_previous_cd_stage()
and Metavision::BaseStage::set_previous_flow_stage()
allow to redirect the input data to the corresponding
consuming callback.
When ready, the output frame is sent to the display stage.