Object Detection & Tracking — MCQs | Digital Image Processing

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1. What is the main goal of object detection in image processing?



2. Which algorithm is widely used for real-time object detection?



3. Which of the following is a region-based object detection algorithm?



4. Which metric is commonly used to evaluate the performance of an object detector?



5. What does IOU stand for in object detection?



6. Which object tracking method uses a histogram of the object’s appearance?



7. Which tracking method assumes linear motion and Gaussian noise?



8. Which technique is best suited for multi-object tracking?



9. In object detection, what does Non-Maximum Suppression (NMS) do?



10. Which model is known for its speed in real-time object detection?



11. Which algorithm is a single-shot detector?



12. Which feature descriptor is commonly used with object tracking?



13. Which algorithm integrates detection and tracking using deep learning?



14. What is the role of anchor boxes in object detection?



15. Which of the following is NOT a challenge in object tracking?



16. Which object detection algorithm is two-stage?



17. What is the main input to an object tracker?



18. Which of the following is used to estimate motion in video frames?



19. Which object detection method uses selective search?



20. Which tracking algorithm is based on sampling and weights?



21. Which method is commonly used to reduce multiple detections of the same object?



22. Which step is performed first in object detection?



23. Which of the following uses deep learning for feature extraction?



24. What is the purpose of the confidence score in detection?



25. What does “real-time” mean in the context of object detection?



26. Which of the following methods is NOT typically used in object tracking?



27. Which deep learning model is widely used for feature extraction in detection?



28. What causes “drift” in object tracking?



29. Which layer in a neural network performs detection in YOLO?



30. What makes SSD faster than R-CNN?



31. What is the main output of an object detection model?



32. Which feature is used in the HOG descriptor?



33. Which is a disadvantage of deep learning–based detection methods?



34. Which detector is trained to predict multiple classes and boxes?



35. What causes tracking failure in Mean Shift?



36. Which loss function is commonly used in object detection?



37. Which tracker adapts better to non-linear motion?



38. Which framework combines object detection and tracking in one system?



39. What does the “Faster” in Faster R-CNN refer to?



40. Which object detection model is most suitable for mobile applications?



41. Which part of YOLO predicts object locations?



42. Which tracker uses prior and observation models?



43. Which method uses pyramids in object detection?



44. Which issue is common in long-term tracking?



45. Which detection model uses regression directly to predict boxes?



46. Which detector divides the image into grids?



47. What does the Kalman Filter estimate in tracking?



48. What type of learning is used in most modern object detection systems?



49. Which algorithm is best for low-computation environments?



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