A Space-Variant Sensor Structure for Complex Target Detection and Tracking
Why this work is in the frame
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Bibliographic record
Abstract
Visually tracking a real-world target with an image sensor is widely applicable in robotics and human-computer interaction but is a computationally intensive task. Smart image sensors can make use of integrated motion detection circuits for target tracking, but algorithms for tracking complex, real-world targets are usually not suited to smart sensor implementations. We propose a sensor structure for tracking targets that have complex spatial frequency patterns and varying velocities. In this structure only basic motion detection circuits are used, however the distance between sensing elements is varied in order to vary the filtering properties of the system to be sensitive to a broad range of spatial frequencies and velocities. Simulation results show that it is possible to be selectively sensitive to both the different spatial frequencies of a target and to its varying velocity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it