settings.h

#ifndef SETTINGS_H
#define SETTINGS_H

//#define DAVIS_IMG_WIDHT 240
//#define DAVIS_IMG_HEIGHT 180

// Time settings
// Time window in microseconds
#define TIME_WINDOW_US 100000
// Update intervals for user interface and computations
#define UPDATE_INTERVAL_COMP_US 20000
#define UPDATE_INTERVAL_UI_US 20000
// Timerange of plots
#define PLOT_TIME_RANGE_US 5000000 // 10 sec
// Lowpass filter for smoothing FPS counters
#define FPS_LOWPASS_FILTER_COEFF 0.1

// Tracking and detection settings
// How long has a ROI with lost tracking to be kept alive
#define TRACK_DELAY_KEEP_ROI_US 1000000
// How long has a ROI with lost tracking but possible fall kept alive
#define TRACK_DELAY_KEEP_ROI_FALL_US 5000000
// Kernel size used for opening operation on the input event image
// This removes noise and improves the later object detecton
#define TRACK_OPENING_KERNEL_SZ 3
// Sigma for gaussian smoothing of opened image
#define TRACK_BOX_DETECTOR_GAUSS_SIGMA 10
// Kernel size
#define TRACK_BOX_DETECTOR_GAUSS_KERNEL_SZ (TRACK_BOX_DETECTOR_GAUSS_SIGMA*2+1)
// Temporal exponential smoothing factor of spatially smoothed event image
// Lower values -> more lowpass
#define TRACK_BOX_TEMPORAL_SMOOTHING (0.6)
// Threshold for binarizing the resulting smoothed image
// Lower values expand the contour, higher values are closer to the original shape
#define TRACK_BOX_DETECTOR_THRESHOLD (255*0.04)

// Optional scaling factor for detected bounding boxes
#define TRACK_BOX_SCALE (1.1)
// Minimum area of bouding boxes to remove noise
#define TRACK_MIN_AREA (50*50)
// Minimum number of events in bounding box
#define TRACK_MIN_EVENT_CNT (3000)
// Assume only N subjects in the scene and remove all smaller boxes before tracking
#define TRACK_BIGGEST_N_BOXES 3
// An object's bbox has to overlap with an inner image region, defined by the borders below,
// otherwise the detected rectangle is ignored. This reduces false alarms.
#define TRACK_IMG_BORDER_SIZE_HORIZONTAL (60)
#define TRACK_IMG_BORDER_SIZE_VERTICAL (10)
// Ratio between overlap of bounding boxes
// and size of old box: How high has the overlap to be
// To match the old bbox
#define TRACK_MIN_OVERLAP_RATIO (0.6)

// Temporal exponential smoothing factor for speed measurements
// Lower values -> more lowpass
#define STATS_SPEED_SMOOTHING_COEFF (0.3)

// Fall detector
// Coordiante system: top -> y = 0, bottom -> y == DAVIS_IMG_HEIGHT
#define FALL_DETECTOR_Y_SPEED_MIN_THRESHOLD (1.9)
#define FALL_DETECTOR_Y_SPEED_MAX_THRESHOLD (3.4)
#define FALL_DETECTOR_Y_CENTER_THRESHOLD_FALL (140)
#define FALL_DETECTOR_Y_CENTER_THRESHOLD_UNFALL (110)
// Neighborhood for local speed maxima estimation
// System response is delayed by 0.5*(window size)/UPDATE_INTERVAL_COMP_US
// Neighborhood has to be odd
#define FALL_DETECTOR_LOCAL_SPEED_MAX_NEIGHBORHOOD (11)

// Use all event for center and stddev computation
// Otherwise, each pixel is only considerend once
// Multiple events per pixel are ignored
#define FALL_DETECTOR_COMP_STATS_ALL_EVENTS false

// Detected falling objects are classified by a cascade classifier
// To detect humans in falling objects
#define FALL_DETECTOR_POSTCLASSIFY_HUMANS false

typedef struct tSettings {
    double fall_detector_y_speed_min_threshold;
    double fall_detector_y_speed_max_threshold;
    double fall_detector_y_center_threshold_fall;
    double fall_detector_y_center_threshold_unfall;
    tSettings()
    {
        fall_detector_y_speed_min_threshold = FALL_DETECTOR_Y_SPEED_MIN_THRESHOLD;
        fall_detector_y_speed_max_threshold = FALL_DETECTOR_Y_SPEED_MAX_THRESHOLD;
        fall_detector_y_center_threshold_fall = FALL_DETECTOR_Y_CENTER_THRESHOLD_FALL;
        fall_detector_y_center_threshold_unfall = FALL_DETECTOR_Y_CENTER_THRESHOLD_UNFALL;
    }

} tSettings;



#endif // SETTINGS_H