PTZ Camera Latency Compensation via Client-Side Frame Emulation
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Solution Overview
Problem
Pan-Tilt-Zoom (PTZ) camera systems experience significant latency issues, leading to delays in camera movement and video frame updates, which can cause operator fatigue and suboptimal tracking performance, especially in applications requiring immediate response.
Innovation Solution
A method and apparatus that utilize a computer terminal to receive user input, generate commands for camera movement, and locally transform video frames to emulate future frames, reducing latency by displaying predicted camera movements before actual updates are received from the PTZ camera, and optionally using multiple cameras for mosaicking to enhance frame completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual tracking is implemented to overcome automatic tracking limitations, then tracking flexibility and object type coverage are improved, but operator fatigue increases due to significant latency in camera movement response
Solution Approach 1:
The system performs preliminary action by locally transforming video frames at the client terminal to emulate future camera positions before the actual camera movement completes. This predictive transformation uses the commanded pan/tilt/zoom parameters to pre-render what the scene will look like, thereby reducing the perceived latency and improving operator experience during manual tracking operations
2Ease of operation
If camera movement commands are transmitted over network to PTZ camera, then remote control capability is achieved, but significant latency occurs due to network transmission and camera execution time
Solution Approach 1:
The system creates a local copy or emulation of the future video frames by transforming existing video frames at the client terminal. Instead of waiting for the actual camera to move and transmit new frames, the system generates transformed frame data locally that mimics what the camera will capture, thereby reducing network dependency and latency
Solution Approach 2:
The client terminal performs preliminary transformation of video frames before the camera actually completes its movement. By pre-calculating and displaying transformed frames based on commanded movements, the system reduces the perceived latency between command issuance and visual feedback
3Measurement precision
If video frames are wait for actual camera movement completion before display, then image accuracy is maintained, but perceived latency increases significantly affecting tracking responsiveness
Solution Approach 1:
The system performs preliminary transformation of video frames to emulate future camera positions before the actual camera movement completes. This predictive approach maintains sufficient image accuracy for tracking purposes while dramatically improving responsiveness by displaying transformed frames during the camera's movement transition
Solution Approach 2:
The system dynamically adjusts the displayed video content by continuously transforming frames based on ongoing camera movement commands. Rather than static waiting for frame completion, the system dynamically generates intermediate transformed frames that reflect the camera's current position, improving tracking fluidity and responsiveness
Data Source
AI summary
Compensating for delay in a Pan-Tilt-Zoom (PTZ) camera system is disclosed. Client-side view transformation is carried out to emulate a future Field Of View (FOV) of the camera so that the impact of latency is reduced.